JP2024093009A - Information processing device, information processing method and program - Google Patents

Abstract

To support a user having difficulty attending training for some reason and an organization with the user belonging thereto so as to reach ideal scores and have ideal attributes after a prescribed period passes.SOLUTION: A server 10 includes a current situation acquisition part 11 and a recommendation part 16. The current situation acquisition part 11 acquires a current score from a business basic ability assessment test and current attributes (a current business type, job classification, official position, or the like) about a user and an organization. The recommendation part 16 recommends documents, digital contents, or the like so as to reach a target score (e.g., a score higher than the current score of a prescribed attribute) desired by the user and the organization after the elapse of a prescribed period to have job classification or the like (a target attribute) desired in future as useful information to the user and the organization on the basis of the current score and the current attributes.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing device, an information processing method, and a program.

There have been human resource development support systems that assess users' skills and support human resource development based on the results of the assessment (see, for example, Patent Document 1).

JP 2004-246507 A

Conventional techniques are premised on the premise that human resource development involves having users take training courses or the like to improve their individual skills.
However, there are many users who are unable or unable to attend training courses.
For this reason, there is a demand for new methods that allow users to appropriately improve their individual skills without having to attend training sessions.

The present invention was made in consideration of such circumstances, and aims to support subjects who, for some reason, are unable to take training courses to reach a target level and acquire target attributes after a specified period of time has passed.

In order to achieve the above object, an information processing device according to an embodiment of the present invention comprises:
A current situation acquisition means for acquiring a current level of business-related skills and current attributes of the target;
a recommendation means for recommending to the subject, after a predetermined period of time has elapsed, books that should be read in order to reach a target level of business-related skills and to have a future target attribute, based on the current level and the current attribute;
Equipped with.
By providing such a configuration, the present invention can support a subject (e.g., a user or an organization) who has difficulty attending training for some reason to reach a target level (e.g., an ideal skill level (test score)) and acquire target attributes (e.g., an ideal job type) after a specified period of time, simply by self-studying, such as by reading recommended books.
An information processing method and a program corresponding to the information processing device according to one aspect of the present invention are also provided as an information processing method and a program according to one aspect of the present invention.

According to the present invention, it is possible to support subjects who, for some reason, are unable to take training courses so that they can reach a target level and acquire target attributes after a specified period of time has passed.

1 illustrates an overall configuration of an information processing system according to an embodiment of the present invention. FIG. 2 is a block diagram showing a hardware configuration of a server in the information processing system of FIG. 1 . 3 is a functional block diagram showing the functional configuration of a server having the hardware configuration of FIG. 2. FIG. 13 is a diagram showing an example of an evaluation result of the skills of individual users associated with evaluation indexes of business skills. 4 is a flowchart showing the operation of the server of FIG. 2 and FIG. 3; FIG. 11 is a diagram showing a recommendation flow in the present service to which a server of an embodiment of an information processing device according to the present invention is applied. FIG. 13 is a diagram showing a configuration that functions when processing pattern [1] of a recommendation unit in a server of an embodiment of an information processing device according to the present invention. 8 is a diagram showing information input to and output from the server having the configuration shown in FIG. 7. FIG. 13 is a diagram showing a configuration that functions when processing pattern [2] of a recommendation unit in a server of an embodiment of an information processing device according to the present invention. 10 is a diagram showing information input to and output from the server having the configuration shown in FIG. 9 . FIG. 13 is a diagram showing a configuration that functions when processing pattern [3] of a recommendation unit in a server of an embodiment of an information processing device according to the present invention. 12 is a diagram showing information input to and output from the server having the configuration shown in FIG. 11 . FIG. 13 is a diagram illustrating the operation of the recommendation unit when the user has a desired future appearance. A diagram showing a book purchasing support function of a server in a book recommendation service by a service provider. FIG. 4 is a diagram showing an example of attributes of users to be recommended by the servers of FIGS. 2 and 3 . FIG. 16 is a diagram showing a score table of a user having the attributes shown in FIG. 15. FIG. 4 is a diagram showing an example of user attributes recommended by the servers of FIGS. 2 and 3 . FIG. 18 is a diagram showing a score table of a user having the attributes shown in FIG. 17. This is a first example of a recommendation for an organization by the server of Figures 2 and 3, and is a diagram showing an example of department attributes (attribute information) of a department (store operations/procurement) when recommendations are made for each department (organization) within the same company. FIG. 20 is a diagram showing a score table for a department (store management) having the department attributes of FIG. 19. FIG. 20 is a diagram showing a score table for a department (store management) having the department attributes shown in FIG. 19. 19 is a diagram showing a second example of a recommendation for an organization by the server of FIG. 2 and FIG. 3, and is a diagram showing areas (direct area/indirect area) for each hierarchy in the department (store operation/procurement) of the department attribute of FIG. 19. FIG. 22 is a diagram showing a score table for the middle rank (store manager) level of the level of FIG. 22 in the department (store operation/procurement) of FIG. 19 . FIG. 22 is a diagram showing a score table for the new employee level in the level of FIG. 22 for the department (store operation/procurement) of FIG. 19 . 19 is a third example of a recommendation for an organization by the server of FIG. 2 and FIG. 3, showing the areas (direct area/indirect area) for each job type in the department (store operation/procurement) of the department attribute of FIG. 19. FIG. 27 is a diagram showing a score table for store management positions among the job types in FIG. 25 in the department (store operation/procurement) in FIG. 19 . FIG. 27 is a diagram showing a score table for clerical workers among the job types in FIG. 25 in the department (store operation/procurement) in FIG. 19 . FIG. 13 is a diagram showing examples of related words of recommended books.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 shows the overall configuration of an information processing system 1 according to an embodiment of the present invention.
The information processing system 1 shown in FIG. 1 is composed of a server 10, n (n is any integer value equal to or greater than 1) user terminals 20-1 to 20-n, and a book server 2, all of which are interconnected via a predetermined network NW such as the Internet.
In the following description, when there is no need to distinguish between the user terminals 20-1 to 20-n, they will be collectively referred to as "user terminal 20."

The user terminal 20 is an information processing device managed for each user, and is configured, for example, as a tablet terminal or a smartphone.
The server 10 is managed by the service provider and executes various processes while controlling the operations of the user terminals 20-1 to 20-n.
In addition, the server 10 operates in cooperation with the book server 2 .
The book server 2 provides, for example, a book sales site (Web site including a publishing site, a retail site, etc.) that sells books as publications and digital content such as electronic books on the Internet NW.
The book server 2 works in cooperation with the server 10, so that, for example, a user can purchase a book from the book server 2 without the need for a search by simply clicking on a URL link of a book title recommended and presented by the server 10 to the user terminal.

The services provided by this service provider include a training service and a book recommendation service. Both of these services require users to register as members.
The training service is a service in which, upon application from a company, employees are allowed to participate in courses as users, take courses, conduct online training, etc., and also conduct business basics diagnostic tests (hereinafter simply referred to as "tests") before, during, and after the training.
The book recommendation service is a service that performs the above-mentioned test on users who cannot attend the training, evaluates the results of the test, and presents the user with useful information for the user to have future goal attributes, such as recommended books, the reading order, and the period, etc. Specifically, for example, books and digital content that will improve the user's current skill level are recommended.
In addition, the service provider will not only test individuals, but also companies or departments within those companies, and will support their growth based on the test results of each employee, present optimal solutions for future growth, and enable them to contribute to the development of society.

Specifically, in this embodiment, the server 10 operates in cooperation with the user terminal 20 and the book server 2 as follows.
That is, the server 10 first conducts a test on the user. Specifically, the server 10 transmits a test consisting of one or more questions from among a plurality of questions previously stored in a database to the user terminal 20, and receives the answers input by the user to each of the one or more questions.

The test is administered by the service provider. The questions in the test are intended to evaluate the user's basic business skills (business fundamentals), and are set by the service provider for one or more business skills to be evaluated and for one or more themes for each skill. Business fundamentals refer to skills or abilities that are useful in working as a member of society.

Explain the relationship between skills and themes for evaluating fundamental business skills.
m skills (m is an arbitrary integer value of 1 or greater) are defined, and p themes (p is an arbitrary integer value of 1 or greater independent of m) are defined for each of the one or more skills.
The test will include questions on each topic related to that topic.

The user terminal 20 receives the test sent by the server 10. Then, the user operates the user terminal 20 to input answers to each of the multiple questions that make up the test.
The user terminal 20 transmits the test answers (a collection of answers to each question) entered by the user to the server 10.

The server 10 sequentially acquires and grades the test answers each time they are sent from each of the user terminals 20-1 through 20-n. The server 10 also normalizes the grading results for each item, and stores and manages them as scores for each user.

The server 10 sets and stores extraction conditions for extracting scores of a predetermined population from the scores managed for each user.
The predetermined population is not particularly limited, and may be any of a variety of groups, such as a group of users who match one or more predetermined pieces of attribute information among various pieces of attribute information related to users, a group of users whose scores are within a certain range, etc. As a prerequisite, the server 10 manages, for each user, a score indicating the scoring result and various pieces of attribute information of the user (age, gender, industry, occupation, position, year of joining the company, etc.) in association with each other.
In this case, extraction conditions for extracting scores from a specified population may be, for example, the same age, the same occupation, the same industry, the same job title, the same year of joining the company, past score values or ranges, etc.

The server 10 extracts the score of a specific user and the score of a specific population that includes the specific user, and compares the two scores.
Specifically, for example, the score of the specific user can be compared with the average, maximum, or minimum score of a specific population that includes the specific user.

In addition, the server 10 displays a graph plotting the score of the specified user and the score of a specified population that includes the specified user on the screen of the user terminal 20 of the specified user (see Figure 3).

This allows the user to easily visually see the degree of growth of the user's current skills compared to past skills and the effectiveness of the company's training by looking at the distribution of the user's own score values for each theme of each skill and the score values of a specified population that includes the user, on the graph displayed on the screen of the user terminal 20.

In this way, the service provided by this service provider obtains the user's current business skill score (current level) obtained from the results of the business fundamentals diagnostic test, and the current occupation (current attribute), and based on this current score and current occupation, books that should be read to reach the target score (target level) after N years (predetermined period) and to have the occupation the user desires (future target attribute) are recommended to the user as useful information. Therefore, even if a user has difficulty taking training courses for some reason, support can be provided to reach the ideal score after N years and to have the occupation the user desires.

Figure 2 is a block diagram showing the hardware configuration of a server in the information processing system 1 of Figure 1.

The server 10 includes a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a bus 104, an input/output interface 105, an output unit 106, an input unit 107, a memory unit 108, a communication unit 109, and a drive 110.

The CPU 101 executes various processes according to a program recorded in the ROM 102 or a program loaded from the storage unit 108 to the RAM 103 .
The RAM 103 also stores data and the like necessary for the CPU 101 to execute various processes.

The CPU 101, ROM 102, and RAM 103 are interconnected via a bus 104. An input/output interface 105 is also connected to this bus 104. An output unit 106, an input unit 107, a memory unit 108, a communication unit 109, and a drive 110 are connected to the input/output interface 105.

The output unit 106 is composed of a display, a speaker, etc., and outputs various information as images and sounds.
The input unit 107 is made up of a keyboard, a mouse, etc., and is used to input various types of information.

The storage unit 108 is configured with a hard disk, a DRAM (Dynamic Random Access Memory), etc., and stores various data.
The communication unit 109 communicates with other devices (such as the user terminal 20 and the book server 2 in the example of FIG. 1) via a network NW including the Internet.

Removable media 111, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is appropriately loaded into the drive 110. A program read from the removable media 111 by the drive 110 is installed in the storage unit 108 as necessary.
Further, the removable medium 111 can store various data stored in the storage unit 108 in the same manner as the storage unit 108 .

FIG. 3 is a functional block diagram showing the functional configuration of the server in the information processing system of FIG.
As shown in FIG. 3, an examination DB 60 is provided in one area of the storage unit 108 (FIG. 2) of the server 10.
The examination DB 60 stores information about the user and a log (hereinafter referred to as the "examination log") of the user's performance in the training courses he or she has taken to date and the results (scores and other results) of the business fundamentals diagnostic test.
The information about the user is, for example, information that an employee working at a company takes courses or training sessions held by the service provider in order to improve his or her skills, and the information about the user includes attribute information about the user, such as the company or industry to which the user belongs.

Specifically, the examination DB 60 stores basic attributes such as the name, age, sex, and occupation of employees taking training services at a company or other enterprise, their current and past departments (divisions, etc.) within the company, their job titles, the type of business of the enterprise, information about the courses and training courses taken (course name and course number, training name and training number, attendance date, attendance history), questionnaires (questions) and answers given by the service provider to each user, etc., in correspondence with information that identifies the individual user (user ID or user number, etc.).

The user's attributes are divided into current and ideal basic attributes (primary attributes such as age, gender, occupation, etc.) and other additional attributes (secondary attributes such as job title, industry, etc.) (see Figures 15 and 17 for specific examples), and are stored in the examination DB 60.
All basic attributes are registered for a user. Additional attributes are registered voluntarily through active input from the user. Note that a user's attributes and scores may be referred to as information about the user.
Only users who have ideal attributes can register them. Ideal attributes can be, for example, the type of job or position that a user wants to pursue. If the ideal attributes are somewhat specific, the more information there is, the more accurate the recommendations for books to read can be.
In addition, if no ideal attributes are registered, at least one of books to have the recommended attributes and a target period (predetermined period) to reach the attributes will be recommended based on the current score and current attributes (current job type, job title, etc.).
A list of related words for books by category (not shown) is stored in the examination DB 60. In the list of related words for books by category, one or more related words for books are set for each item in each category (e.g., 20 items in FIG. 4).

Here, we will briefly explain the training service, which is one of the services provided by this service provider. A user can select a training course to take from a range of training themes. A plurality of courses are stored as training courses. A course is, for example, a training session or seminar that implements a training program, and a plurality of users can participate in a plurality of courses.
Each of the multiple courses corresponds to one or more evaluation elements. The one or more evaluation elements are not particularly limited, but in the following description, a theme or sub-theme is used. That is, in the following example, one course corresponds to one or more (mainly one) themes or sub-themes.
Themes are subjects that name each of the skill elements of business, and are associated with the course name. Sub-themes are small themes contained within a theme, and courses are set up just for small themes. The same applies to training.

As shown in the graph in Figure 4, for example, the indicators for evaluating basic business skills are defined (categorized) into four skills, such as "Business knowledge," "Planning & Control," "Thinking," and "Communication." Skill items are set for each of the four defined (categorized) skills. A skill item is one of the evaluation elements for each skill. Training (courses) are set for each skill item.

For example, the skill items for measuring basic business skills under the skill "business knowledge" include current affairs, legal affairs, human resources, and labor, finance and accounting, marketing, and management. Although not shown in the figure, the skill item legal affairs, human resources, and labor includes sub-items such as human resources and labor and compliance.

The skill items for measuring the fundamental business capabilities of the "planning and control" skill include objectives and goals, planning, business management, review and evaluation, and improvement. Although not shown in the figure, the skill item objectives and goals includes a sub-item called goal thinking. In addition, the skill item planning includes a sub-item called action plan creation.

Skill items for measuring basic business abilities in the "thinking" skill category include numerical processing, application of thinking methods, information gathering, problem setting, and solution planning. Although not shown in the figure, the theme of application of thinking methods includes the sub-theme of the ability to break things down into elements.

Skill items for measuring basic business skills in the "communication" category include negotiation, written communication, oral communication, listening, business etiquette, etc. Although not shown in the figure, the skill item "written communication" includes a sub-item called slide creation ability.

Here we will explain how to categorize (divide) skills for evaluating business skills.
Skills can be broadly divided into four categories, systematizing the skills necessary for growth in human resource development.
In order for people to achieve results, they need planning and control. In order to improve planning and control, they also need thinking, which includes will and judgment, communication, which builds relationships, and business knowledge.
In this way, by dividing skills into four categories and then further subdividing each category into five skill items, basic business skills are diagnosed (for example, in the form of a radar chart), making it easier to see the characteristics of the skills possessed by the person being assessed.

The business fundamentals are provided in units of individual skill items or in units of a course set with multiple themes, and the user attends training sessions to improve the user's business skills.
When a user attends a training course, a business basics diagnostic test is administered before, during and after the course.
In addition, even for users who cannot take the training, tests are administered at one or more of the following times: before reading, during the reading period, after reading, etc., and changes in the user's skill level (score) are checked.

The examination DB 60 stores information about tests conducted by the service provider. The information about the tests includes, for example, test questions, answers, test results of individual users (scores for each skill item), and business fundamentals diagnostic results (scores for each category and item) that are a comprehensive evaluation of the test. In addition, the examination DB 60 also stores human resource development log information, including questionnaires given to users, responses to the questionnaires, the number of companies using the training, the number of participants, the number of companies that have started hierarchical training, the number of participants by training theme and by hierarchical level, the lead time required for decision-making before introducing training, and the number of registered service user IDs.
The score is a numerical value (from "1" to "5") obtained by evaluating the score for each test item, for example, on a five-point scale, and a total numerical value for each skill item is also stored. If one category has five skill items, each category has a maximum score of 25 points, and the user's evaluation for each category is shown by the total score of each skill item in this case.

The examination DB 60 stores information about the company to which the user belongs (company size (number of employees), organizational structure (hierarchy, etc.), department, division allocation, etc.) linked to the user ID. The user ID is identification information used when the user logs into the server 10, and is managed in pairs with the password.
In addition, the examination DB 60 stores information about each employee (user) in the company (e.g., employee name, age, date of joining the company, years of employment, organizational position, job title, etc.) linked to the employee's personal identification information such as employee number and user ID.
The examination logs from one year ago or several years ago shown above are merely examples, and past results from three years ago will suffice.
The examination DB 60 stores past performance information for all member users. The performance information is, for example, information that associates the test results for each user with the attributes of the user at that time and the test date. In addition, as one piece of user performance information, for example, the reading history of books that the user has read is stored in the examination DB 60.
In addition, the examination DB 60 stores performance information of companies taking courses or training courses (for example, information to the extent that is publicly available in business magazines, etc.) so that it can be compared with other companies in the same industry.
A user belongs to a specific organization such as the company where the user works, and the user's score and attributes are indicated by information (such as personnel evaluation) created by the company.
In this way, by using the personnel evaluation of the company where the user works (affiliation etc. = attributes, evaluation = skills (score)) as one of the recommendation materials as the current score and current attributes, as well as the target score and target attributes, it is possible to select and recommend appropriate books taking into account objective evaluations of the user.

In the CPU 101 of the server 10 (see FIG. 2 ), when executing processing related to the book recommendation service, as shown in FIG. 3 , a current situation acquisition unit 11, a future situation acquisition unit 12,
A target period acquisition unit 13, a similar performance acquisition unit 14, a reading history acquisition unit 15, a recommendation unit 16, and a display control unit 17 function.
The current situation acquisition unit 11 acquires the user's (subject's) current test score (current level of business-related skills), as well as current industry (retail, etc.), job type (e.g. sales), and position (general) (current attributes).
The current situation acquisition unit 11 includes a current level acquisition unit 31 and a current attribute acquisition unit 32 .

The current level acquisition unit 31 acquires the current score of the user as a result of the test.
Specifically, the current level acquisition unit 31 creates questions for each theme from among questions for evaluating the user's skills that are pre-stored in the examination DB 60, for the user to answer by operating the user terminal 20. A collection of questions and answers for each theme of each skill created in this way constitutes a test.

The current level acquisition unit 31 acquires, as the current level, the current evaluation value (score in a business fundamentals diagnostic test) of the subject's business-related abilities (business fundamentals).
The current level acquisition unit 31 presents the test to the user by displaying the test on the user terminal 20 via the communication unit 109 .

Specifically, information indicating the business fundamentals of one or more employees belonging to the company organization is acquired via the user terminal 20 and stored in the examination DB 60. The business fundamentals diagnostic test is a test for diagnosing the business fundamentals, for example, a test for evaluating skills, which are business capabilities, by category.
The user operates the user terminal 20 to input answers (answers for each question) to the test questions posed by the current level acquisition unit 31. The answers input by the user are transmitted from the user terminal 20 to the server 10.

The current level acquisition unit 31 acquires the test answers (a collection of answers for each question) sent from the user terminal 20 via the communication unit 109 .
The current level acquisition unit 31 grades the acquired test answers for each question based on a predetermined grading standard.
The current level acquisition unit 31 normalizes (scores) the scoring results for each question for each theme of each skill, and stores the scores in the examination DB 60 as evaluation results linked to the item name of each theme, and manages them for each user.

In response to an evaluation presentation request (table creation instruction) from the user terminal 20, the score of a specific user and the score of a specific population including the specific user are obtained from the scores of one or more users managed in the examination DB 60, and output to the display control unit 17. Note that the specific user may be referred to as the first user.

The specified population is extracted according to specified extraction conditions that are stored in advance in the examination DB 60. Specifically, as described above, a population can be extracted with the specified extraction conditions being any combination of any number (including 1) of the same age, same occupation, same industry, same job title, same year of joining the company, or the specified user's own past scores.

The current attribute acquisition unit 32 acquires, as current attributes of the user, for example, the current industry (retail, etc.), job type (sales, etc.), position (general), etc.
Specifically, the current attribute acquisition unit 32 acquires one or more attributes of a subject (e.g., a user such as an employee of a company) who is scheduled to undergo a predetermined human resource development for a predetermined period (e.g., three years) by attending one or more courses. The one or more attributes include basic attributes and additional attributes (see Figs. 15 and 17). The basic attributes are, for example, gender, age, occupation, industry, and position. The additional attributes are, for example, the employee's position in the company, the company's industry, and the like.
This user information may be obtained from the user terminal 2, or may be read and obtained from user information pre-stored in the examination DB 60.

The future situation acquisition unit 12 acquires a target score (target level) for the user and ideal attributes that the user would like to have in the future, such as industry, occupation, job title, etc. (target attributes).
When the user directly inputs the ideal attributes from the user terminal 20, the future situation acquisition unit 12 acquires the target score and the ideal attributes that the user wants to have in the future input by the user's input operation on the user terminal 2. Note that some users may not have a goal, in which case no information may be input.
The future situation acquisition unit 12 has a target level acquisition unit 41 and a target attribute acquisition unit 42 .

The target level acquisition unit 41 acquires a target score input by a user's input operation on the user terminal 2 .
When a target score for the user's business skills after N years has passed is input by the user's operation, the target level acquisition unit 41 acquires the score as the target score. Note that when the target score is registered in advance in the examination DB 60, the target level acquisition unit 41 reads out the target score from the examination DB 60 and acquires it.
Specifically, if the target score is included in the information of the user in the examination DB 60 for the logged-in user ID, the target level acquisition unit 41 reads the target score from the examination DB 60, acquires it from the examination DB 60 as the target score, and outputs it to the recommendation unit 16.

When a target attribute (such as the industry, occupation, or position that the user wants to have) for the user after N years has passed is input by the user's operation, the target attribute acquisition unit 42 acquires the target attribute.
That is, the target attribute acquisition unit 42 acquires the ideal attributes (industry, occupation, position, etc.) that the user wants to have in the future, which are input by the user through an input operation on the user terminal 2 .
The target score, ideal attributes, etc. may not only be input directly by the user to the user terminal 2, but may also be obtained by reading out user information previously stored in the test DB 60.

When a target period is input as a predetermined period by a user's operation, the target period acquisition unit 13 acquires the period as the target period. Also, when the user's target period is stored in advance in the examination DB 60, the target period acquisition unit 13 acquires the target period from the examination DB 60.
Specifically, the target period acquisition unit 13 searches the examination DB 60 for information on the user who is the target of the recommendation and has logged in to the server 10, and if the user information includes a target period, it reads the target period from the examination DB 60, acquires it as the target period, and outputs it to the recommendation unit 16.
As a result, the recommendation unit 16 creates a course plan based on one or more attributes and current score of the user, as well as the target score and target period input by the user, and further calculates an appropriate course period and recommends it to the user.
In the above, the target level, ideal attributes, target period, etc. may be input not only by the user but also by an organization such as a company. In this case, "input by an organization" naturally includes input by a person who belongs to the organization or a person who is requested or instructed by the organization.

The similar performance acquisition unit 14 acquires performance information for each of one or more similar attribute users, among existing users who have already reached the target skill level a predetermined period of time (N years) before the present, who have attributes that are identical or similar to the current attributes of the target user, as similar attribute users, and information including the skills before and after the predetermined period of time (N years) before the present, as performance information.
Specifically, the similar performance acquisition unit 14 acquires performance information of one or more existing users (people with similar attributes) having the same or similar attributes as the user from the examination DB 60 , and outputs the information to the recommendation unit 16 .
This enables the recommendation unit 16 to select and recommend books etc. to the user by taking into consideration not only one or more current attributes and current score of the user, but also performance information of one or more existing users (people with similar attributes).

The reading history acquisition unit 15 acquires the reading history of the user. Specifically, the reading history acquisition unit 15 acquires the reading history of the books read by the user from the user information stored in the examination DB 60.
In addition, appropriate books may be recommended based on information other than the user's own reading history, for example, past test data and reading history of existing users with the same or similar attributes as the user.
In addition, information on books recommended by experts, people with knowledge or achievements in a particular field, and books that people with the same attributes have read in the past may be obtained, and books may be recommended based on that information.

Based on the current score and current attributes, the recommendation unit 16 outputs books, digital content, etc. to the display control unit 17 as useful information and recommends them to the user in order to achieve a target level of test result score (skill), for example an average score for a specified item that exceeds the current score, after a specified period of time (N years), for example three years from now, and to have a future target attribute, for example a programmer (SE) as a job in the IT industry.
The recommendation unit 16 adds performance information of one or more people with similar attributes to the user's current score and current attributes, and recommends useful information, such as books, to the user based on this information.
When the recommendation unit 16 recommends useful information such as a plurality of books, the recommendation unit 16 also recommends the order in which to read the plurality of books (chronological contact order).
The recommendation unit 16 recommends a predetermined period, such as six months, together with useful information, based on the current score and current attributes and the target score and target attributes.
The recommendation unit 16 further has a book purchasing support function, and presents the user with a book purchasing link (see FIG. 14) to a book sales site where useful information on the recommended books and the like can be obtained.
The recommendation unit 16 recommends useful information such as books to the user based on the current score, the current attributes, and the reading history.
Specifically, the recommendation unit 16 recommends useful information such as books to the user based on the reading history acquired by the reading history acquisition unit 15 in addition to the current score and current attributes.
The recommendation unit 16 has a capacity development recommendation unit 51 , a future situation recommendation unit 52 , and a specified period recommendation unit 53 .

The ability development recommendation unit 51 presents to the user terminal 2 via the display control unit 17 useful information such as appropriate books that the user to whom the recommendation is made should read, the order in which to read them, and the timing of retaking the test.
Specifically, the ability development recommendation unit 51 uses the current test score and ideal attributes as input information and outputs to the display control unit 17 appropriate books that the user should read, the order in which to read them, and the time when the user should next take the test, thereby making recommendations to the user.

The future situation recommendation unit 52 presents the future situation of the user's future score (target score) and future attributes (e.g., target attributes such as ideal industry, occupation, and job title) that the recommended user will achieve through reading to the user terminal 2 as useful information via the display control unit 17.

The specified period recommendation unit 53 outputs to the display control unit 17 useful information on books that the user should read, etc., along with a specified period (e.g., N months) until the user finishes reading the book, based on the target score (e.g., a numerical value that exceeds XX points for the items of a specified attribute) and the target attribute (e.g., an occupation such as a programmer (SE) in the IT industry) for the user acquired by the future situation acquisition unit 12, and recommends the book to the user.

The generation of useful information (e.g., book selection) in the recommendation unit 16 is performed by an AI model.
The generation of useful information executed by the AI model takes into consideration not only the user's current situation (current attributes and current score values) but also trends based on attributes, scoring trends based on the four business skill categories (suitability of business skills), and target scores, target periods, and target attributes input by the user himself/herself. In addition, this AI model can recommend useful information (books, etc.) for the future based only on the input of the current situation, even if the user does not have a future vision (goal). In addition to the AI model, useful information may be generated based on a preset algorithm.

The display control unit 17 controls the display of information (useful information) about books, etc. generated by the recommendation unit 16 on the screen of the user terminal 20.

In addition, the display control unit 17 controls the display of two line graphs (see, for example, the radar chart in Figure 4) in which the user's current score and ideal score output from the recommendation unit 16 are each plotted in a circular display area, on the screen of the user terminal 20 via the communication unit 109.
In addition, the display control unit 17 superimposes two line graphs (e.g., see FIG. 4 ) in which the user's current score acquired by the current level acquisition unit 31 and the score of a specific population including the user are plotted in a circular display area, and controls the display on the screen of the user terminal 20 via the communication unit 109.

The operation of the server will now be described with reference to FIG.
FIG. 5 is a flowchart showing the operation of the server of the embodiment of the information processing device according to the present invention.
In the server 10, in step S11 of FIG. 5, the current situation acquisition unit 11 acquires, for the user, current attributes such as the current score of the business fundamentals diagnostic test (current level of business-related skills), and current industry (retail, etc.), job type (e.g. sales), position (general), etc.
Specifically, the current situation acquisition unit 11 acquires one or more attributes of the user (information including at least age, gender, occupation, position, and industry among age, gender, and occupation) as basic attributes, and acquires the remaining position and industry as additional attributes (see, for example, Figure 15, etc.).

Next, in the server 10, in step S12 of FIG. 5, the recommendation unit 16 recommends to the user, based on the current score and current attributes, useful information (e.g., books, digital content, etc.) that will be useful for the user to reach a score (target score) in which the average score of the specified items in the results of the business fundamentals diagnostic test exceeds the current score after N months (a specified period such as 3 months) have passed, and to have a future target attribute (e.g., a programmer (SE) in the IT industry, etc.).

According to such operation of the server 10, the user's current situation (one or more attributes and current score) and future situation are acquired, and based on this information, a course attendance plan for one or more appropriate courses that the user should take is created and recommended to the user, so that concrete support can be provided to help the training subject achieve their growth goal after a specified period (N years).

Here, the recommendation flow in this service will be described with reference to FIG.
FIG. 6 is a diagram showing a recommendation flow in this service to which a server of an embodiment of an information processing device according to the present invention is applied.
As shown in FIG. 6, this service acquires the user's current score and current attributes as the first input (INPUT) by conducting a first test for the user.
As a first output, the service recommends appropriate books, an appropriate reading order, and the timing for retaking the test.
The timing of retaking the test may be recommended, for example, to take the test again in three months.
After the first output, when three months have passed since the time for retaking the test, the service administers a second test to the user, obtaining the user's score at that time and their attributes at that time as the second input (INPUT).
Then, as the second output, the service recommends appropriate books, an appropriate reading order, and the timing for retaking the test.
The timing of retaking the test may be recommended, for example, to take the test again in three months.
In this way, this service conducts tests on users and recommends books to them, and then repeats input and output at specified intervals to check how the user's skills have changed as a result of the recommended books, thereby maintaining the user's motivation.

Hereinafter, the operation of the recommendation unit in the server according to various combinations of inputs and outputs will be described with reference to FIGS.
The processing of the recommendation unit 16 in the server 10 has three patterns, [1] pattern to [3] pattern, as combinations of input and output.
Pattern [1] is a pattern in which the current situation is input (1), the future situation is input (2), a specified period is output (1), and a capability development recommendation is output (2).
Pattern [2] is a pattern in which the current situation is input (1), the future situation is input (2), a specified period is input (3), and a capability development recommendation is output (1).
[3] Pattern is a pattern in which the current situation is input (1), a specified period is input (2), a skill development recommendation is output (1), and the future situation is output (2).

First, the process of pattern [1] of the recommendation unit will be described with reference to FIG. 7 and FIG.
FIG. 7 is a diagram showing a configuration that functions when processing pattern [1] of a recommendation section in a server of an embodiment of an information processing device according to the present invention.
FIG. 8 is a diagram showing information input to and output from the server having the configuration shown in FIG.
When the recommendation unit 16 executes the process of pattern [1], the ability development recommendation unit 51 and the predetermined period recommendation unit 53 function.
8, the current score (current level) and current attributes are input to the recommendation unit 16 as the current situation acquired by the current situation acquisition unit 11 (input (1)). Also, the ideal score (target level) and the desired appearance/ideal attributes (target attributes) are input to the recommendation unit 16 as the future situation acquired by the future situation acquisition unit 12 (input (2)).
The ability development recommendation unit 51 selects an appropriate book based on the input current score (current level) and current attributes, and generates and outputs a re-taking timing according to the selected book.
Based on the input current score (current level) and current attributes, the predetermined period recommendation unit 53 calculates and outputs the period (recommended period) required to reach the ideal score or desired appearance from the reading time for reading the selected book, the time it takes for the knowledge gained from reading the book to become a skill, and an estimate of when the user will be able to apply the ideal attributes. The recommended period is calculated as, for example, N years or N months.
8, the recommendation unit 16 outputs N years or N months as the required period (recommended period) (output (1)). The recommendation unit 16 also outputs appropriate books and the timing of retaking the test as a skill development recommendation (output (2)).
As a result, the necessary period (recommended period), appropriate books, and timing for retaking the test are output from the recommendation unit 16 and presented to the user terminal 2.

The recommendation unit 16 compares the current situation with the future situation for each of the user's business skills, for example, 4 categories x 5 items, a total of 20 items, and selects and recommends useful information (appropriate books and timing for retaking the test) to the user based on the difference in score between the current and ideal scores for each item and the difference between the current attributes and the ideal attributes.
As appropriate books, for example, books that will help the test result score reach the target level and provide useful information for having future target attributes are selected, and if one or more books are selected, the order in which to read the books is also recommended. The timing of retaking the test is calculated as the time of the next test after the required period (recommended period), for example, N months later, N years later, etc.
In this embodiment, in order to fill the gap between the user's current appearance and his/her ideal appearance, it is possible to present what kind of books should be read to fill the gap.

First, the process of pattern [2] of the recommendation unit will be described with reference to FIG. 9 and FIG.
FIG. 9 is a diagram showing a configuration that functions when processing pattern [2] of a recommendation section in a server of an embodiment of an information processing device according to the present invention.
FIG. 10 is a diagram showing information input to and output from the server having the configuration shown in FIG.
When the recommendation unit 16 executes the process of pattern [2], the capacity development recommendation unit 51 functions.
10, the current score (current level) and current attributes are input to the recommendation unit 16 as the current situation acquired by the current situation acquisition unit 11 (input (1)). In addition, the ideal score (target level), ideal score, desired appearance and ideal attributes (target attributes) are input to the recommendation unit 16 as the future situation acquired by the future situation acquisition unit 12 (input (2)).
Furthermore, the recommendation unit 16 receives an input of the period required to obtain an ideal score (target level) as the predetermined period acquired by the target period acquisition unit 13 (input (3)).
The ability development recommendation unit 51 selects an appropriate book based on the input current score (current level), current attributes, and the period required to obtain an ideal score (target level), and generates and outputs the timing for retaking the test according to the selected book.
As a result, the recommendation unit 16 outputs appropriate books and timing for retaking the test as a skill development recommendation (output (1)), as shown in FIG. 10 .
As a result, appropriate books and timing for retaking the test are output from the recommendation unit 16 and presented to the user terminal 2.

First, the process of pattern [3] of the recommendation unit will be described with reference to FIG. 11 and FIG.
FIG. 11 is a diagram showing a configuration that functions when processing pattern [3] of a recommendation section in a server of an embodiment of an information processing device according to the present invention.
FIG. 12 is a diagram showing information input to and output from the server having the configuration shown in FIG.
When the recommendation unit 16 executes the process of pattern [3], the ability development recommendation unit 51 and the future situation recommendation unit 52 function.
12, the current score (current level) and the current attribute are input to the recommendation unit 16 as the current situation acquired by the current situation acquisition unit 11 (input (1)). In addition, the period until an ideal score (target level) is obtained is input to the recommendation unit 16 as the predetermined period acquired by the target period acquisition unit 13 (input (2)).
The ability development recommendation unit 51 selects an appropriate book based on the input current score (current level), current attributes, and the period required to obtain an ideal score (target level), and also generates and outputs the timing for retaking the test according to the selected book.
The future situation recommendation unit 52 outputs an ideal score (target level) and a desired appearance and ideal attributes (target attributes) as a future situation based on the input current score (current level), current attributes, and the period until the ideal score (target level) is obtained.
As a result, the recommendation unit 16 outputs appropriate books and the timing to retake the test as a skill development recommendation (output (1)), as shown in Fig. 12. The recommendation unit 16 also outputs an ideal score (target level) and a desired appearance and ideal attributes (target attributes) (output (2)).
As a result, the ideal score (target level), desired appearance/ideal attributes (target attributes), appropriate books, and timing for retaking the test are output from the recommendation unit 16 and presented to the user terminal 2.

Next, with reference to FIG. 13, a process of the recommendation unit in a case where the user does not have a desired future appearance will be described.
FIG. 13 is a diagram showing the operation of the recommendation unit when the user does not have a desired future appearance.
If the user has a desired future image, the processing operations are the same as those in Figures 7 to 12, and the recommendation unit 16 compares the user's current score with the ideal score for each of the user's business skills, for example, 4 categories x 5 items, a total of 20 items, and generates appropriate books, timing for retaking the test, and recommended period based on the difference in score between the current and ideal scores for each item.
The appropriate books are those that provide useful information for reaching the target test score and having the target attributes in the future. In addition, if multiple books are selected, the order in which to read the books is generated. The recommended period is calculated as the number of years required to reach the ideal score, for example, N years or N.5 years.

On the other hand, if the user does not have a desired future image, the user is asked to decide only the target period (N years), as shown in FIG. 13, and the period (N years) is input by the user to the server 10 via the user terminal 20.

The server 10 reads the user's current score and attributes from the test DB 60, and inputs the read current score and attributes and the period (N years) entered by the user to the recommendation unit 16.

The recommendation unit 16 regards as similar attribute users, among existing users who have already been provided with the book recommendation service for N years, those who have the same or similar attributes as a user who plans to read in the future, and reads out from the test DB 60 performance information (trends in scores from N years ago to the present) for the past N years (-N years to the present) of scores for one or more similar attribute users.
As the performance information, the recommendation unit 16 acquires the scores N years after each person with a similar attribute has attained the ideal attribute (job type, position, etc.).

Next, the recommendation unit 16 generates and outputs one or more book recommendation information (three patterns of book recommendation information in this example) based on the obtained scores of each of the several people with similar attributes and the user's current score. Each of the three patterns of book recommendation information includes recommendation information suitable for each (appropriate books and reading order, re-examination timing), as well as an ideal score, ideal attributes, and ideal qualitative evaluation for each pattern.
Then, the recommendation unit 16 displays the ideal scores for each of the three patterns of book recommendation information generated on the screen of the user terminal 2 via the display control unit 17 and presents them to the user according to the degree of match with the user's score and attributes.
In this way, one or more possible future images of the user are presented (three patterns in this example) according to the degree of match, and the user can select the image he or she would like to have from the one or more presented future images.

Next, a book purchase support function in the book recommendation service will be described with reference to FIG.
FIG. 14 is a diagram showing a book purchasing support function of a server in a book recommendation service by a service provider.
The book purchasing support function is a function that presents to the user places where the book recommended by the recommendation unit 16 can be obtained or accessed.
Specifically, the book purchasing support function is a linking function among a server 10, a book server 2, and a user terminal 20 connected to the Internet, for example, as shown in FIG.
The recommendation unit 16 not only presents books for improving skills as useful information for the user, but also cooperates with external book sales sites (external sites). This function not only links to such external sites, but also cooperates with operators of the external sites and their related organizations.

In this case, when the recommendation unit 16 of the server 10 searches the Internet to see whether the book to be recommended to the user is for sale, the recommendation unit 16 judges from the URL parameters whether the book sales site 2a detected by the search is an If parameter-attached site or a site that issues a URL with an If parameter on the site side.
If it is determined that the book sales site 2a is an If parameter-attaching type site, the recommendation unit 16 acquires a purchase page URL from the site.
Furthermore, if the result of the determination is that the book sales site 2a is a site that issues URLs with If parameters on its own, the recommendation unit 16 acquires a purchase page URL from that site.
Next, the recommendation unit 16 creates a purchase page URL (purchase link) with affiliate parameters based on the acquired site URL.
When recommending a book to a user, the recommendation unit 16 presents the book title on the first line of a recommendation screen 21 presented to the user terminal 20, a purchase link on the second line, a link to an evaluation article related to the book on the third line, and a search keyword related to the book on the fourth line.

By configuring the recommendation screen 21 in this way and arranging a book purchase link under the book title on the recommendation screen 21 when the server 10 presents book recommendation information to the user terminal 20 of the user, the user can proceed with the purchase of the book simply by clicking on the purchase link.
Furthermore, when a user purchases a product or contracts for a service through the purchase link on the second line, a referral reward will be provided to the service provider from the organization operating the book sales site 2a.

In this way, with the book purchasing support function, the user can check (purchase) the contents of the book recommended by the service provider at the book sales site 2a linked to the recommendation information presented on the recommendation screen 21 of the user terminal 20, and thereby learn about the books recommended by the book sales site 2a.
In addition, for example, by placing a guidance URL such as "People interested in this book also check this out" on the recommendation screen 21, it is possible to promote collaboration with not only the operating organization of the book sales site 2a, but also publishing organizations such as book publishers and other related organizations.

A specific example of a book recommendation service will be described below with reference to FIGS.
15 and 16 show a first example in which a user wishes to change jobs in the same industry, from the retail industry to the IT industry.
FIG. 15 is a diagram showing an example of attributes of users to be recommended by the servers in FIGS.
As shown in Fig. 15, the user's attribute information is managed by corresponding current and ideal information for each attribute item. The attributes include, for example, basic attributes and additional attributes. The basic attributes are gender, age, and occupation. The additional attributes are industry and job title (role).
In the first example, the user's attribute information includes basic attributes such as gender being male, current age being 26, and current occupation being sales. The ideal occupation is programmer.
The additional attributes include the current industry being retail and the current job title being general (general employee). The additional attributes include the ideal industry being IT and the ideal job title being general (general employee). Other job titles that can be input include, for example, leader, manager, and executive.

FIG. 16 is a diagram showing a score table of a user having the attributes shown in FIG.
There are 20 business skill items in total, with five items in each of the four categories. For each item, there is a current score (marked as "Current" on the score sheet), an ideal score (marked as "Ideal" on the score sheet), the difference between the two scores (marked as "Current - Ideal" on the score sheet), and recommendations for useful information such as books.
If the ideal score is entered by the user, that number will be used; otherwise, the average of the top 20% of scores from past test data for the target attribute will be used.

In order to acquire skills from a set of useful information, it is effective to obtain information not only from areas directly related to the skill you want to improve, but also from areas that are indirectly related.
Therefore, when recommending useful information, this service separates it into the "direct area" and the "indirect area," and recommends books from each area.
In the "Direct Area," useful information is presented on the scores required for ideal attributes and the skills needed to master areas where there are deficiencies.
In the "indirect area," there is no direct relationship between the score required for the ideal attribute and the user's own score, but useful information that is good to have in order to achieve the ideal attribute is presented.

For example, in the score table shown in FIG. 16, for example, there is a tendency for the score differences in the categories of "Planning &Control" and "Thinking" to be "-1", "-2", etc., and it can be seen that the current scores are short of the ideal scores.
In this example, the point difference was calculated by subtracting the ideal score from the current score, but it can also be done the other way around. In this case, the more "+" there are, the more the current score falls short of the ideal score.

Here, the thinking of the recommendation unit 16 when it is an AI model will be described.
A characteristic of the IT industry is the high scores in the "Planning &Control" and "Thinking" categories.
Additionally, because this is a sales job, a high score in the "communication" area is also required as an ideal attribute, but it can be seen that the user has already achieved the required ideal score.
In this case, in order for the user to reach the level required in the IT industry, it is recommended that they read books related to the areas where their (current - ideal) scores are negative, mainly in the areas of "planning and control" and "thinking."
Specifically, in order to improve skills in the "Planning &Control" category, one or more books on "Project Management" are recommended as a "Direct Area."
In addition, to improve skills in the "thinking" category, one or more books on "research reporting,""logicalthinking," and "critical thinking" are recommended as "direct areas."

Next, the second example will be described.
17 and 18 show a second example in which the user wishes to change jobs from a sales position to a planning position in the same industry.
FIG. 17 is a diagram showing an example of attributes of users to be recommended by the servers in FIGS.
17, in the second example, the user's attribute information includes basic attributes such as gender female, current age 27, and current occupation sales. The ideal occupation is entered as planning.
The additional attributes include the current industry being retail and the current job title being general (general employee). The additional attributes include the ideal industry being retail and the ideal job title being general (general employee).

Figure 18 is a diagram showing a score table for a user with the attributes shown in Figure 17. The structure of the categories and items in the score table is the same as in Figure 16, so a description thereof will be omitted.

For example, in the score table shown in FIG. 18, for example, there is a tendency for the score differences in the categories of "Planning &Control" and "Thinking" to be "-1", "-2", etc., and it can be seen that the current scores are short of the ideal scores.
In this example, the point difference was calculated by subtracting the ideal score from the current score, but it can also be done the other way around. In this case, the more "+" there are, the more the current score falls short of the ideal score.

Here, the thinking of the recommendation unit 16 when it is an AI model will be described.
The characteristics of planning jobs are high scores in the "Planning &Control" and "Thinking" categories, but users do not reach either of these required scores. Also, in terms of ideal attributes, a high score is required in the "Communication" area, but users have already reached the required score.
In order for the user to reach the level required for a planning position, it is recommended that they read books related to the items in the categories of "Planning &Control,""Thinking," and "Business Knowledge" that have negative scores for (Current - Ideal).
In this case, in order for the user to reach the level required for a planning position, it is recommended that they read books related to the areas where their (current - ideal) scores are negative, mainly in the areas of "planning and control,""thinking," and "business knowledge."
Specifically, in order to improve skills in the "planning and control" category, one or more books related to "purpose and goals,""advancepreparation," and "PDCA" are recommended as "direct areas."
In addition, to improve skills in the "thinking" category, one or more books related to "research reports,""logicalthinking,""criticalthinking,""problemsolving," and "policy consideration" are recommended as "direct areas."
Furthermore, to improve skills in the "business knowledge" category, at least one book on "marketing" is recommended as a "direct area," and at least one book on "company structure,""financialstatements," and "current affairs" is recommended as "indirect areas."
In addition, to improve skills in the "communication" category, one or more books on "presentations" are recommended as a "direct area," and one or more books on "business etiquette" are recommended as an "indirect area."

In this way, the user can view the recommendation information including the books recommended by the recommendation unit 16, the reading order, the target period, etc. on the screen of the user terminal 20, and thus the user can know how much time and what books and in what order he or she needs to read in order to reach the ideal score N months or N years later, thereby providing specific support for skill improvement to users who are unable to attend training.

Next, a case where the target of the recommendation is an organization (for example, a company) will be described.
In the above-described embodiment, an example was described in which the target of the recommendation is a user. However, the target of the recommendation in the present invention is not limited to people such as users, and may be organizations such as companies, corporations, and organizations.

In this case, the server 10 recommends useful information necessary for the user to reach their ideal state (e.g., ideal score and desired appearance/ideal attributes (hereinafter "ideal attributes")) after a predetermined period of time (e.g., a required period (recommended period N years)) has elapsed, based on the current situation of the user belonging to the organization (e.g., current score and attributes).

Useful information is recommended on an organizational basis, with the most appropriate information being recommended based on the attributes of that "organization."
Here, useful information refers to a group of useful information that is easily and inexpensively available, such as books (including Kindle, audiobooks, etc.), company-owned columns, e-mail newsletters containing useful information, keywords (for searching the media, etc.), etc.

To acquire skills from a set of useful information, it is effective to obtain information not only from areas directly related to the skill you want to improve, but also from areas that are indirectly related.
In the direct domain, useful information is presented on the scores required for ideal attributes and on the skills required to master the areas where there are deficiencies.
In the indirect domain, useful information is presented that is not directly related to the score required for the ideal attribute and the individual's score, but is good to have when striving for the ideal attribute.

The server 10 has a first recommendation function, a second recommendation function, and a third recommendation function.

The first recommendation function is a function that outputs a period and useful information (recommendation) based on the score and ideal attributes.
In the case of the first recommendation function, the input information input to the server 10 includes attribute information of the organization (e.g., industry, number of personnel, main duties), the current level of business-related skills of personnel belonging to the organization (e.g., current score), target level of business-related skills, etc.
When the above information is input, the server 10 outputs the period required for the organization to reach the ideal state (for example, the required period (recommended period) N years, n months, etc.) and useful information for the organization to reach the ideal state.

The second recommendation function is a function that outputs useful information (recommendations) based on the score, ideal attributes, and required period.
In the case of the second recommendation function, the input information input to the server 10 includes attribute information of the organization (e.g., industry, number of personnel, main duties), the current level of business-related skills of personnel belonging to the organization (e.g., current score), current attributes of personnel belonging to the organization (e.g., job type, rank, etc.), the target level of business-related skills (e.g., ideal score), and the required period (e.g., required period (recommended period) N years), etc.
When the server 10 receives the input information about the organization, it outputs useful information for bringing the organization into an ideal state.

The third recommendation function is a function that outputs a vision for the future and useful information (recommendations) for getting there based on the score and the required period.
In the case of the third recommendation function, the input information input to the server 10 includes attribute information of the organization (e.g., industry, number of personnel, main duties), the current level of business skills of personnel belonging to the organization (e.g., current score), current attributes of personnel belonging to the organization (e.g., job type, rank, etc.), and the period required (e.g., required period (recommended period) N years), etc.
When the server 10 receives the above input information, it outputs the target level of the organization's business skills (for example, an ideal score), the organization's future vision, and useful information for moving towards that vision.

The concept of the period is as follows.
The required period is calculated as "(difference in score) x n months" for items with missing scores, and n months per item for items in the direct and indirect domains.
Note that n months is the period required to increase the score by one point, and the value of n is calculated for each organization based on the attributes and skill levels of personnel belonging to the organization. (Some organizations grow quickly and others do not, depending on the characteristics and interactions of the organizations.) Also, n is not necessarily an integer, and can be a value such as n = 0.5, 1.2, etc.
For example, for an organization with n=1, it will take one month to reach the standard for an item with a score short of one point, and two months for an item with a score short of two points. For an organization with n=0.8, it will take 0.8 months and 1.6 months, respectively.
The time it takes for all items to reach the standard is not necessarily the simple sum of the scores for each item. For example, in a company where n=1, if there are two items that are each one point short of the standard, it may take one month to improve both items to the target score. In other words, the sum of n for each item = the maximum time required.

Below, we will explain specific examples of recommendations to organizations.
First, a first example in which the target of recommendation is an organization, for example, a department of a company, will be described with reference to FIGS.
The first example is a case where input information is acquired and recommendations are made for each "department" within the same company.
FIG. 19 is a diagram showing an example of department attributes (attribute information) of departments (store operation and procurement) within the same company.
FIG. 20 is a diagram showing a score table for a department (store management in the Kanto area) having the department attributes shown in FIG.
FIG. 21 is a diagram showing a score table for a department (store management in the Kansai area) having the department attributes shown in FIG.

As shown in FIG. 19, an organization is, for example, a department within the same company, and the attribute information includes basic attributes of the organization and current attributes of personnel belonging to the organization.
The basic attributes of an organization include industry, number of employees, and department.
In this first case, the industry item is retail, the number of employees item is 300, and the department items are Kanto area (store operations/procurement), Kansai area (store operations/procurement), and head office (information systems, human resources/general affairs).
The current attributes of personnel belonging to an organization are set by the items of hierarchy and job type.
The hierarchy categories are management, managerial staff, mid-level (store managers), and new employees.
The job types listed are store sales and clerical work.

The current level of business skills of personnel within the organization will be determined using the results of the Business Fundamentals Diagnostic Test.

In this example organization (department), the main business is store management in both the Kanto and Kansai areas. Store management requires high scores in the "communication" category, such as business manners and attentive listening. It is assumed that such conditions are stored in advance in the examination DB 60 as learning data by AI.
The direct and indirect areas are the same in both the Kanto and Kansai areas.
The direct areas (★ black star) are improvement, business etiquette, active listening, and oral communication, while the indirect areas (● black circle) are information gathering, negotiation, and marketing.
In addition, based on the tendency of this company, the unit of the required period is set to 3 (n=3). This information is also stored in advance in the examination DB 60 as learning data for the AI.

When the above input information is entered, the calculated scores for departments in the Kanto area will be as shown in the score table in Figure 20, and the calculated scores for departments in the Kansai area will be as shown in the score table in Figure 21.

Each score sheet shown in Figures 20 and 21 has five items in each of the four categories, namely, "planning and control,""thinking,""communication," and "business knowledge," for a total of 20 business skill items, and for each item, a current score (marked as "current" on the score sheet), an ideal score (marked as "ideal" on the score sheet), the difference between the scores (marked as "current - ideal" on the score sheet), and recommendations for useful information such as books are set.
If the ideal score is entered by the user, that number will be used; otherwise, the average of the top 20% of scores from past test data for the target attribute will be used.

In order to acquire skills from a set of useful information, it is effective to obtain information not only from areas directly related to the skill you want to improve, but also from areas that are indirectly related.
Therefore, when recommending useful information, this service separates it into the "direct area" and the "indirect area," and recommends books from each area.
In the "Direct Area," useful information is presented on the scores required for ideal attributes and the skills needed to master areas where there are deficiencies.
In the "indirect area," there is no direct relationship between the score required for the ideal attribute and the user's own score, but useful information that is good to have in order to achieve the ideal attribute is presented.

The main duties and direct/indirect areas are the same in the Kanto and Kansai areas, but differences in input information result in different recommended output information.

Specifically, in the case of the Kanto area in the score table shown in Fig. 20, the test results for the organization show that the scores in the categories of "thinking" and "business knowledge" have reached the ideal scores, but the scores in the "communication" category, except for "document delivery", have not reached the ideal scores. Therefore, useful information is recommended for the items in "communication" where the scores are insufficient.
In addition to highlighting areas where your score is lacking, the app also provides recommendations on books and useful information related to direct and indirect areas such as improvement, information gathering, and marketing.

In the case of the Kansai area in the score sheet shown in FIG. 21, all items in the "communication" category reached the ideal score, but the "planning and control" and "thinking" categories did not reach the ideal score.
This provides useful recommendations regarding missing scores in those categories.
In addition to highlighting areas where your score is lacking, the app also provides recommendations for books and useful information on direct and indirect areas such as business etiquette, listening, oral communication, negotiation, and marketing.

Here, a method for calculating the required period (X months) will be explained.
For items with missing scores, the score is calculated as "(difference in score) x n months", and for items in the direct and indirect domains, the score is calculated as n months per item.
Note that n months is the period required to increase a test score by one point.
For example, it will take n months for "business management" where the score is insufficient, and n months for "improvement" which is a direct area. In the first case, n=3, so in the Kanto area, the total period required in the score table in Fig. 20 is 9n, so 9 x 3 = 27, and the maximum period required is 27 months. In the Kansai area, the total period required in the score table in Fig. 21 is 15n, so 15 x 3 = 45, and the maximum period required is 45 months.

Next, a second example in which the target of recommendation is an organization, for example, a certain department of a company, will be described with reference to FIG. 19 and FIG. 22 to FIG.
The second example is a case where input information is acquired and recommendations are made for each “hierarchy” within the same company, and the department attributes (attribute information) within the company are assumed to be the same as those in FIG. 19 .
FIG. 22 is a diagram showing that the direct and indirect areas are different between a mid-level employee (store manager) and a new employee.
FIG. 23 is a diagram showing a score table of a store manager who is a middle-ranking employee in a department (store management in the Kanto area) having the department attributes shown in FIG.
FIG. 24 is a diagram showing a score table for the new employee level of a department (store management in the Kansai area) having the department attributes of FIG.

The current level of business skills of personnel belonging to an organization will be determined using the scores obtained from the business fundamentals diagnostic test.
In a company, for mid-level employees who are entrusted with responsibilities such as store management or who take on core roles in head office operations, categories such as "planning and control" and "thinking" that involve understanding the current state of operations and formulating and executing solutions are emphasized, so the direct and indirect areas are different between mid-level employees (store managers) and new employees, for example.
Specifically, as shown in Figure 22, in the case of a mid-level employee (store manager), the direct area (black star) is planning, business management, numerical processing, solution planning, negotiation, marketing, etc., while the indirect area (black circle) is information gathering.
On the other hand, for new employees, the direct areas (★ black star) are review/evaluation, improvement, and business manners, while the indirect areas (● black circle) are business management, information gathering, and oral communication. Also, based on the trends of this company, the unit of time required is set to 2.1 (n = 2.1).
It is assumed that this information is stored in advance in the examination DB 60 as learning data by AI.

When the above information is entered, the calculated score for the mid-level employee (store manager) will be as shown in the score table in Figure 23, and the calculated score for the new employee will be as shown in the score table in Figure 24.

In the second example, the recommended content differs depending on the input information.
Specifically, when focusing on mid-level employees (store managers) and new employees among the items in the department attribute (attribute information) hierarchy in Fig. 19, in the case of the mid-level employee (store manager) score table shown in Fig. 23, there are multiple items with insufficient scores in categories related to grasping the current status of work and planning and executing solutions, such as "planning and control" and "thinking," which are considered important in the mid-level employee (store manager) hierarchy. Useful information is recommended accordingly.
In addition to highlighting areas where your score is lacking, the app also provides recommendations for books and useful information related to direct and indirect areas such as information gathering, marketing, finance, and accounting.
The time required is output as, for example, 2n months for "solution planning" where the score is insufficient, and n months for "information gathering" which is an indirect area.

On the other hand, in the case of the newcomer's score sheet shown in Fig. 24, all items in the "Communication" category have reached the ideal score, but the "Planning &Control" and "Thinking" categories have not reached the ideal score. Therefore, useful information regarding the lacking scores in those categories is recommended.
In addition to highlighting areas where your score is lacking, the app also provides recommendations for books and useful information on direct and indirect areas such as business etiquette, listening, oral communication, negotiation, and marketing.
The required period is output as 2n months for "business etiquette" where the score is insufficient, and n months for "oral communication" which is an indirect domain.
In the second example, n=2.1, so the mid-level employee (store manager) will need a maximum of 29.4 months since the total period required for the score sheet in Figure 23 is 14n, which is 14 x 2.1 = 29.4. Also, the new employee will need a maximum of 23.1 months since the total period required for the score sheet in Figure 24 is 11n, which is 11 x 2.1 = 23.1.

Next, a third example in which the target of recommendation is an organization, for example, a certain department of a company, will be described with reference to FIG. 19 and FIG. 25 to FIG.
The third example is a case where input information is acquired and recommendations are made for each “job type” within the same company, and the department attributes (attribute information) within the company are assumed to be the same as those in FIG. 19 .
FIG. 25 is a diagram showing that the direct and indirect areas are different for store managers and clerical staff.
FIG. 26 is a diagram showing a score table of store management positions in a department (store management in the Kanto area) having the department attributes of FIG.
FIG. 27 is a diagram showing a score table of clerical staff in a department (store management in the Kansai area) having the department attributes of FIG.

The current level of business skills of personnel in the organization will be measured using the scores from the Business Fundamentals Diagnostic Test.

Specifically, if we focus on store management and administrative staff among the department attributes (attribute information) in Figure 19, as shown in Figure 25, for store management staff, the direct areas (black star ★) are improvement, business etiquette, attentive listening, and oral communication, while the indirect areas (black circle ●) are information gathering, negotiation, and marketing.
On the other hand, for clerical workers, the direct areas (★ black star) are business management, document transmission, legal affairs, personnel affairs, and labor affairs, while the indirect areas (● black circle) are information gathering, oral transmission, management, and finance and accounting. Also, based on the trends of this company, the unit of time required is set to 3.1 (n = 3.1).
It is assumed that this information is stored in advance in the examination DB 60 as learning data by AI.

When the above information is entered, the calculated scores for store management positions will be as shown in the score table in Figure 26, and the calculated scores for clerical positions will be as shown in the score table in Figure 27.

In the third example, the recommended content also differs depending on the input information.
Specifically, if we focus on store management positions and clerical positions in the “job type” item of the department attributes (attribute information) in Figure 19, in the case of the store management position score table shown in Figure 26, useful information is recommended for items where the score is insufficient.
In addition to highlighting areas where your score is lacking, the app also gives recommendations for improvement, oral communication, negotiation, books on direct and indirect domains, and useful information.
The required period is output as 2n months for "business manners" where the score is insufficient, and n months for "oral communication" which is a direct/indirect domain.

On the other hand, in the case of the score sheet for clerical workers shown in Fig. 27, the ideal score for document transmission is high even in the category of "communication." For items where the score is insufficient, useful information corresponding to the item is recommended.
In addition to highlighting areas where your score is lacking, the app also gives recommendations for improvement, oral communication, negotiation, books on direct and indirect domains, and useful information.
The required period is output as 3n months for "business management" where the score is insufficient, and n months for "oral communication" which is a direct area.
In this third example, n = 3.1, so the total period required for store management positions in the score sheet in Figure 26 is 16n, so 16 x 3.1 = 49.6, and the maximum period required is 49.6 months. Also, the total period required for clerical positions in the score sheet in Figure 27 is 14n, so 14 x 3.1 = 43.4, and the maximum period required is 43.4 months.

The second recommendation function is a function that outputs useful information (recommendations) based on the test result score of the business fundamentals diagnostic test, ideal attributes, and required period, and this function outputs output information from the following input information.
That is, the input information is: 1. attribute information of the organization, 2. the current level of business-related skills of personnel belonging to the organization, 3. current attributes of personnel belonging to the organization, 4. target level of business-related skills, and 5. required period.

The third recommendation function is a function that outputs a future vision and useful information (recommendations) for getting there based on the score of the business fundamentals diagnostic test and the required time period. This function calculates the target level of business-related skills and the required time period from the following input information:
That is, the input information is: 1. attribute information of the organization, 2. the current level of business-related skills of the personnel belonging to the organization, 3. the current attributes of the personnel belonging to the organization, and 4. the period required.

FIG. 28 shows examples of related words for recommended books.
There are five business skill items in each of the four categories - "Planning &Control,""Thinking,""Communication," and "Business Knowledge" - for a total of 20 items, with each item corresponding to a related word from the book.
In the example of Fig. 28, for example, the objectives and goals items in the "planning and control" category are associated with words such as objectives and goals. The planning items are associated with words such as planning and advance preparation. The business management items are associated with words such as how to do work and how to proceed with work. The review and evaluation items are associated with words such as experiential learning. The improvement items are associated with words such as PDCA.
For other categories such as "thinking,""communication," and "business knowledge," words are associated with each item in the same way as for the "planning and control" category.

As described above, according to the first to third examples, useful information necessary for the user to reach their ideal state (e.g., ideal score and desired appearance/ideal attributes (hereinafter "ideal attributes")) after a predetermined period of time (e.g. a required period (recommended period N years)) has elapsed is recommended based on the current situation of a user who belongs to an organization such as a company (e.g. current score and attributes). In this way, when acquiring skills from the useful information, information can be obtained not only from areas directly related to the skill to be improved, but also from areas that are indirectly related. Therefore, by reading or browsing information in accordance with the recommended useful information, the user can make efforts along a clear path to achieving their goal.
In other words, a company (organization) to which a user who has difficulty attending training for some reason belongs can be supported to reach a target level and acquire target attributes after a predetermined period of time has passed.

Although one embodiment of the present invention has been described above, the present invention is not limited to the above-mentioned embodiment, and modifications and improvements that can achieve the object of the present invention are included in the present invention.

For example, the hardware configuration shown in FIG. 2 is merely an example for achieving the objectives of the present invention and is not particularly limited.

The functional block diagram of the server 10 shown in FIG. 3 is merely an example and is not particularly limited. In other words, it is sufficient that the information processing device is provided with a function that can execute the above-mentioned series of processes as a whole, and the functional blocks and databases that the information processing device uses to realize this function are not particularly limited to the example in FIG. 3.

Further, although an example in which the functional blocks and the database are arranged on one server has been described, the arrangement location is not limited to that shown in FIG. 3, and the functional blocks and the database may be arranged in a distributed manner on a plurality of information processing devices or may be any other location.
Furthermore, each functional block and database may be configured as a single piece of hardware, may be provided in separate hardware, may be configured as a single piece of software, or may be configured as a combination of these.

When the processing of each functional block is executed by software, the program constituting the software is read from a network or a recording medium into a computer such as a CPU of an information processing device.
The computer may be a computer built into dedicated hardware, or may be implemented in an information processing device capable of executing various functions by reading various programs, such as a server, or a general-purpose smartphone or personal computer.

Recording media containing such programs are not only configured as removable media that are distributed separately from the device body in order to provide each user with the program, but also configured as recording media etc. that are provided to each user in a state where they are already installed in the device body.

In this specification, the steps of describing a program to be recorded on a recording medium include not only processes that are performed in chronological order, but also processes that are not necessarily performed in chronological order but are executed in parallel or individually.

In addition, in this specification, the term "system" refers to an overall device that is composed of multiple devices, multiple means, etc.

For example, in the above-described embodiment, a user may be any person who is registered as a member of this service, such as an employee (employee, officer, etc.) of a company (organization, group, etc.) or an ordinary person.

In the above embodiment, the scores of the test administered by the service provider are described as the current and future levels of the subject's business skills, but other things may be used, and it is sufficient that the subject's skills are indicated by the results of a specific test taken by the subject. For example, not only the scores of the test administered by the service provider but also external scores from sources other than the service provider may be used as input (current level information and future level information).

In the above embodiment, books have been used as an example of useful information, but useful information is not limited to books. Useful information refers to a group of useful information that is easily and inexpensively available, and includes the following. In addition to books, useful information includes electronic books such as Kindle and audiobooks, documents, and images. Useful information also includes column articles held by service providers and e-mail newsletters containing useful information. Furthermore, useful information also includes keywords for searching media, etc.

In the above embodiment, business skills for evaluating fundamental business capabilities are divided into four categories, for example, business knowledge, planning and control, communication, and thinking, but this is merely an example.
That is, any m number of skills (m is an integer value of 1 or more) related to basic business skills can be adopted. In this case, the skill items provided for each skill are not particularly limited to the examples of the above-mentioned embodiment, and any p number of skill items (p is an integer value of 1 or more independent of m) can be adopted.

In the above embodiment, information indicating the business fundamentals of each of one or more subjects belonging to a company is obtained, for example, by normalizing the scores of a business fundamentals diagnostic test for each item in one or more skills that evaluate business skills, but other examples are also possible.
For example, in addition to a company, it may be an organization or a community, and it is sufficient if it is an organization. In addition to a user, it may be an employee, a staff member, a police officer, and the like, and it is sufficient if it is a target person.
In addition, as information indicating basic business skills, tests were conducted for each skill item in each category and normalized scores were obtained, but other information, such as the test scores themselves, may also be obtained, and any information indicating basic business skills will suffice.

In the above embodiment, it has been described that the operation of the recommendation unit 16 that recommends useful information to the target user is performed by an AI model. However, for example, a group of information such as one or more current attributes of the user and the user's current skill level (current score, etc.) may be used as a dataset, and a large number of datasets may be used as learning data to perform machine learning, thereby generating or updating an AI model.
This AI model inputs the "user's current skill level (current score, etc.) and current attributes (current job type, etc.)" and outputs "information (books, etc.) that will be useful to the user to reach the target skill level (target score, etc.) and have future target attributes (target job type, etc.) after a specified period of time has passed."
In addition, without being limited to AI models, for example, using the above-mentioned numerous data sets, a rule-based logic may be generated or updated that inputs "the user's current skill level and current attributes" and outputs "information useful to the user for reaching a target skill level after a specified period of time and having future target attributes."

In summary, the information processing apparatus to which the present invention is applied is sufficient if it has the following configuration, and can take various different embodiments.
(1) That is, an information processing device to which the present invention is applied (for example, the server 10 in FIG. 3, etc.)
A current status acquisition unit (e.g., the current status acquisition unit 11 in FIG. 3 ) for acquiring a current level of business-related skills (current score of a business basics diagnostic test) and current attributes (current industry (retail, etc.), job type (e.g., sales, etc.), job title (general), etc.) for a target (e.g., a user or an organization, etc.);
a recommendation means (e.g., the recommendation unit 16 in FIG. 3 ) for recommending to the target (e.g., a user, an organization, etc.) useful information (e.g., books, digital content, etc.) for a business skill (score of test results) to reach a target level (e.g., a score where the average score of predetermined items exceeds the current score) and for a future target attribute (e.g., a programmer job (SE) in the IT industry) after a predetermined period of time has elapsed, based on the current level and the current attribute;
Equipped with.
This makes it possible to support subjects (e.g., users, organizations, etc.) who have difficulty taking training courses for some reason to reach a target level (e.g., an ideal score (e.g., a test score, etc.)) and acquire target attributes (e.g., an ideal job type, etc.) after a specified period of time has passed.
In other words, even for subjects (e.g., users, organizations, etc.) who find it difficult to attend training, by setting out and recommending a specific path, such as the books necessary to realize the subject's ideal future vision, the order in which they should be read, and the period required, it is possible to provide concrete support to the subject (e.g., users, organizations, etc.) to achieve their growth goals after a specified period of time.

(2) Further comprising a future situation acquisition means (e.g., the future situation acquisition unit 12 in FIG. 3 ) for acquiring the target level and the target attribute for the target (e.g., a user, an organization, etc.),
The recommendation means (for example, the recommendation unit 16 in FIG. 3) recommends the predetermined period (for example, six months) together with the useful information based on the current level and current attribute and the target level and target attribute.
In this way, the current level and current attributes as well as the target level and target attributes are obtained, and based on this information, useful information (for example, recommended books and the order in which to read them) is recommended along with a specified period (for example, a deadline such as a start time to a finish time), thereby enabling skill improvement to be achieved while keeping the deadline in mind.

(3) a future situation acquisition means (e.g., the future situation acquisition unit 12 in FIG. 3 ) for acquiring the target level (e.g., a target score, etc.) and the target attribute (e.g., a job type that a user belonging to an organization wants to have, etc.) for the target (e.g., a user, an organization, etc.);
A period acquisition unit (e.g., the target period acquisition unit 13 in FIG. 3 ) for acquiring the predetermined period (e.g., a period until a target score is obtained) input by the subject (e.g., a user or an organization);
It further comprises:
In this way, by obtaining the target level (e.g., a target score) and target attributes (e.g., the type of job a user belonging to an organization wants to achieve), as well as a specified period (e.g., the deadline for achieving the target score) input by the target (e.g., a user or an organization), it is possible to recommend books that are more suitable within the deadline desired by the user.

(4) a period acquisition unit (e.g., the target period acquisition unit 13 in FIG. 3 ) that acquires the predetermined period (e.g., a period until a target score is obtained) input by the subject (e.g., a user, an organization, etc.);
The recommendation means (for example, the recommendation unit 16 in FIG. 3, etc.) recommends the target level and the target attribute together with the useful information, based on the current level and the current attribute and the predetermined period.
In this way, based on the current level and current attributes as well as a specified period, useful information (recommended books and the order in which they should be read, etc.) is recommended along with a target level (e.g., a target score, etc.) and target attributes (e.g., a target industry, job type, position, etc.), so that users and organizations can follow the recommended useful information and work toward their goals on a path toward the recommended goal (target level and target attributes).

(5) When the subject is a subject,
The skill (e.g., score, etc.) of the subject (e.g., user, etc.) is indicated by the result of a predetermined test taken by the subject (e.g., user, etc.).
In this way, by using the results of external tests taken (commonly referred to as "taking an exam") by subjects (e.g., users, etc.) outside the services provided by this service provider as the information to be obtained (current level, future level, etc.), subjects (e.g., users, etc.) who want to improve their skills but find it troublesome to take tests every time can input the results of some past test, thereby widening the range of subjects (e.g., users, etc.).

(6) The test is a diagnostic test of basic business skills covering multiple items.
In this way, by using the scores obtained from the business fundamentals diagnostic test as input information (current level information and future level information), the situation of the subject (e.g., the user) can be evaluated within the services offered by the service provider, and books suitable for the subject (e.g., the user) can be recommended.

(7) The recommendation means (e.g., the recommendation unit 16 in FIG. 3, etc.) further recommends the next time when the subject (e.g., the user, etc.) should take the business fundamentals diagnostic test.
This allows the subject (e.g., the user) to make a reading plan that takes into account the timing of the next test and plan to improve their skills.

(8) The recommendation means (e.g., the recommendation unit 16 in FIG. 3 ) recommends to the subject (e.g., the user) as the useful information, information (e.g., books, etc.) required to acquire skills for items (e.g., items in the categories of planning & control and thinking) that are missing among the multiple items (e.g., the score sheet in FIG. 16 ) for the target level (e.g., the target score) required for the target attribute.
In this way, by recommending useful information (e.g., books, etc.) related to content (e.g., direct areas, etc.) that directly appear in category items as a result of the test, the scores of deficient items can be improved, bringing the user closer to the target level.

(9) The recommendation means (e.g., recommendation unit 16 in Figure 3, etc.) recommends to the subject (e.g., user, etc.) as useful information, information (e.g., books, etc.) that is good to have in order to aim for the target attribute, from a perspective different from the target level required for the target attribute and the current level.
In this way, by recommending useful information (e.g., books, etc.) on content (e.g., indirect areas, etc.) that is different from but related to the category items as a result of the test, the subject (e.g., a user, etc.) can improve their skills from a broad perspective.

(10) The subject is a subject who belongs to a specified organization,
The skills and attributes of the subject (e.g., the user) are indicated by information created by the predetermined organization (e.g., the company where the user works).
In this way, by using the personnel details (affiliation etc. = attributes, evaluation = skills) of a specified organization (e.g. the user's working company etc.) as input (current level information and current attribute information as well as future level information and future attribute information), it is possible to recommend useful information (e.g. books etc.) taking into account an objective evaluation of the target person (e.g. the user etc.).

(11) When the recommendation means (e.g., the recommendation unit 16 in FIG. 3 ) recommends a plurality of pieces of useful information, it further recommends the temporal order of exposure to each of the plurality of pieces of useful information (e.g., the order in which a plurality of books are read).
In this way, by recommending the temporal order in which multiple pieces of useful information should be encountered (e.g., the order in which multiple books should be read), the target (e.g., a user or an organization) can plan their skill improvement.

(12) a period acquisition unit (e.g., the target period acquisition unit 13 in FIG. 3 ) for acquiring the predetermined period input by a target (e.g., a user, an organization, etc.);
a similar performance acquisition unit (e.g., the similar performance acquisition unit 14 in FIG. 3 ) for acquiring performance information of each of the one or more similar attribute persons, the similar attribute persons being those (e.g., existing users or existing organizations) who have the same or similar attributes as the current attribute of the target (e.g., a user or an organization) among those who have already reached the target level of the skill before the predetermined period from the present; and
Further equipped with
The recommendation means (e.g., recommendation unit 16 in Figure 3) recommends the useful information (e.g., books, etc.) to the target (e.g., a user, an organization, etc.) based on the current level and current attributes of the target (e.g., a user, an organization, etc.) as well as the performance information of each of the one or more similar attribute persons.
This makes it possible to provide the subject (e.g., a user, an organization, etc.) with useful information (e.g., books, etc.) even if the subject (e.g., a user, an organization, etc.) does not have a desired future image.

(13) The recommendation means (e.g., recommendation unit 16 in FIG. 3 ) further presents to the target (e.g., a user, an organization, etc.) a place where the recommended useful information (e.g., a book, etc.) can be obtained or accessed (e.g., a link to a book sales site in FIG. 14 ).
This allows the target (e.g., a user, an organization, etc.) to easily purchase and obtain the recommended useful information (e.g., a book, etc.) with simple operations without having to go to a bookstore or search on the Internet, etc., thereby improving the convenience of the target (e.g., a user, an organization, etc.).

(14) A reading history acquisition means (e.g., the reading history acquisition unit 15 in FIG. 3 ) for acquiring a book reading history of the target (e.g., a user, an organization, etc.);
Further equipped with
The recommendation means (for example, the recommendation unit 16 in FIG. 3, etc.) recommends books as the useful information to the target (for example, a user, an organization, etc.) based on the current level, the current attribute, and the reading history.
In this way, by selecting books based on the reading history of the target (e.g., a user, an organization, etc.) in addition to the current level and current attributes, it is possible to recommend books that are in line with the preferences of the target (e.g., a user, an organization, etc.).

(15) An information processing method to which the present invention is applied comprises:
An information processing method executed by an information processing device,
A current situation acquisition step (e.g., step S11 in FIG. 5 ) for acquiring the current level of business-related skills (current score on a business basics diagnostic test) and current attributes (current industry (retail, etc.), job type (e.g., sales), job title (general), etc.) for a target (e.g., a user or an organization);
a recommendation step (e.g., step S12 in FIG. 5 ) of recommending to the target (e.g., a user, an organization, etc.) useful information (e.g., books, digital content, etc.) for reaching a target level of business skills (e.g., a score in which the average score of a predetermined item exceeds the current score, etc.) and having a future target attribute (e.g., a programmer (SE) in the IT industry, etc.) after a predetermined period of time has elapsed, based on the current level and the current attribute;
including.
This makes it possible to support subjects (e.g., users, organizations, etc.) who have difficulty taking training courses for some reason to reach a target level (e.g., an ideal score (e.g., a score on a business fundamentals diagnostic test)) and to acquire target attributes (e.g., an ideal job type) after a specified period of time has passed.
In other words, even for subjects (e.g., users, organizations, etc.) who find it difficult to attend training, by setting out and recommending a specific path, such as the books necessary to realize the subject's ideal future vision, the order in which they should be read, and the period required, it is possible to provide concrete support to the subject (e.g., users, organizations, etc.) to achieve their growth goals after a specified period of time.

(16) A program to which the present invention is applied,
On the computer,
A current situation acquisition step (e.g., step S11 in FIG. 5 ) for acquiring the current level of business-related skills (current score on a business basics diagnostic test) and current attributes (current industry (retail, etc.), job type (e.g., sales), job title (general), etc.) for a target (e.g., a user or an organization);
A recommendation step (e.g., step S12 in FIG. 5 ) of recommending useful information to the target (e.g., a user or an organization) based on the current level and the current attributes after a predetermined period of time has elapsed, the useful information being useful information for the target (e.g., a user or an organization) based on the current level and the current attributes;
The control process includes:
This allows a subject (e.g., a user) who has difficulty taking the training for some reason to be supported in reaching a target level (e.g., an ideal score (test score, etc.)) and acquiring target attributes (e.g., an ideal job type, etc.) after a specified period of time has passed.
In other words, even for subjects (e.g., users, organizations, etc.) who find it difficult to attend training, by setting out and recommending a specific path, such as the books necessary to realize the subject's ideal future vision, the order in which they should be read, and the period required, it is possible to provide concrete support to the subject (e.g., users, organizations, etc.) to achieve their growth goals after a specified period of time.

1: Information processing system, 10: Server, 20, 20-1, 20-n: User terminal, 101: CPU, 102: ROM, 103: RAM, 104: Bus, 105: Input/output interface, 106: Output unit, 107: Input unit, 108: Storage unit, 109: Communication unit, 110: Drive, 111: Removable media, 11: Current status acquisition unit, 12: Future status acquisition unit, 13: Target period acquisition unit, 14: Similar performance acquisition unit, 15: Reading history acquisition unit, 16: Recommendation unit, 17: Display control unit, 60: Examination DB, NW: Network

Claims (16)

A current situation acquisition means for acquiring a current level of business-related skills and current attributes of the target;
a recommendation means for recommending to the subject, after a predetermined period of time has elapsed, useful information for the subject to reach a target level of business skills and to have a future target attribute, based on the current level and the current attribute;
An information processing device comprising: A future situation acquisition means for acquiring the target level and the target attribute for the target is further provided,
the recommendation means recommends the predetermined period together with the useful information based on the current level and the current attribute, and the target level and the target attribute.
The information processing device according to claim 1 . a future situation acquisition means for acquiring the target level and the target attribute for the object;
A period acquisition means for acquiring the predetermined period input by the subject;
The information processing device according to claim 1 , further comprising: A period acquisition means for acquiring the predetermined period input by the subject;
The recommendation means recommends the target level and the target attribute together with the useful information based on the current level and the current attribute and the predetermined period.
The information processing device according to claim 1 . When the subject is a human subject,
The skills of the subject are indicated by the results of a predetermined test taken by the subject.
The information processing device according to claim 1 . The test is a business fundamentals diagnostic test for multiple items.
The information processing device according to claim 5 . The recommendation means further recommends the next time when the subject should take the business fundamentals diagnostic test.
The information processing device according to claim 6. the recommendation means recommends to the subject, as the useful information, information required for acquiring skills for the items that are lacking among the plurality of items with respect to the target level required for the target attribute;
The information processing device according to claim 6. The recommendation means recommends to the subject, as the useful information, information that is good to have in a case of aiming at the target attribute from a viewpoint different from the target level required for the target attribute and the current level.
The information processing device according to claim 6. The subject is a subject who belongs to a predetermined organization,
The skills and attributes of the subject are indicated by information created by the specified organization.
The information processing device according to claim 1 . When the recommendation means recommends a plurality of pieces of useful information, the recommendation means further recommends a temporal contact order of each of the plurality of pieces of useful information.
The information processing device according to claim 1 . A period acquisition means for acquiring the predetermined period input by the subject;
a similar performance acquisition means for acquiring performance information of each of the one or more similar attribute persons, the similar attribute persons being those who have already reached the target level of the skill before the predetermined period from the present, and who have an attribute that is the same as or similar to the current attribute of the target, and information including the skill before and after the predetermined period being the performance information;
Further equipped with
The recommendation means recommends the useful information to the subject based on the current level and the current attribute of the subject as well as the performance information of each of the one or more similar attribute persons.
The information processing device according to claim 1 . The recommendation means further presents to the subject a place where the subject can obtain or access the recommended useful information.
The information processing device according to claim 1 . A reading history acquisition means for acquiring a reading history of the target book;
Further equipped with
The recommendation means recommends a book as the useful information to the subject based on the current level, the current attribute, and the reading history.
The information processing device according to claim 1 . An information processing method executed by an information processing device,
A current situation acquisition step of acquiring a current level of business-related skills and current attributes of the target;
a recommendation step of recommending to the subject, after a predetermined period of time has elapsed, useful information for the subject to reach a target level of business skills and have a future target attribute, based on the current level and the current attribute;
An information processing method comprising: On the computer,
A current situation acquisition step of acquiring a current level of business-related skills and current attributes of the target;
a recommendation step of recommending to the subject, after a predetermined period of time has elapsed, useful information for the subject to reach a target level of business skills and to have a future target attribute, based on the current level and the current attribute;
A program that executes control processing including:

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