KR102111658B1 - Social marketing method for providing business support service - Google Patents

Abstract

A computer acquiring a social network service account for social marketing from a user client and logging into the social network service account; The computer automatically obtaining at least one metadata included in a post uploaded by another user in the social network service using the logged in account; Determining, by the computer, feedback for the post based on the obtained at least one metadata; And the computer automatically performing the determined feedback on the post using the logged in account. The determining of feedback for the post includes text including an image included in the post, a text included in the post, a hash tag included in the post, and feedback from other users about the post. Determining the context of the post by analyzing metadata of the post including at least one of the following; And generating content of the feedback corresponding to the context of the post, wherein determining the context of the post recognizes at least one object from an image included in the post, and is included in the text. Extracting one or more keywords; Analyzing a property indicated by the recognized at least one object and a property indicated by the extracted one or more keywords according to a preset criterion; And determining the context of the post according to the properties indicated by the analyzed at least one object and the properties indicated by the analyzed one or more keywords. Including, the step of performing the feedback, Determining the identity of the logged in account; And setting a time zone for performing the feedback and the content of the feedback according to the determined identity.

Description

Social marketing method to provide business assistance service {SOCIAL MARKETING METHOD FOR PROVIDING BUSINESS SUPPORT SERVICE}

The present invention relates to a social marketing method for providing a business assistance service.

Business solutions are mainly software or cloud services that support corporate management tasks, and generally perform functions such as production management, employee management, data management, or schedule management.

However, such a business solution is required by a company having a size larger than a certain standard, and a business solution for a preliminary entrepreneur or a start-up company is not provided.

In recent years, as there are many start-ups (start-ups) and prospective start-ups according to the global trend by rapid technological development and the policy support of the country, the development of business solutions for them is required.

Published Patent Publication No. 10-2002-0004592, published on January 16, 2002

The problem to be solved by the present invention is to provide a social marketing method for providing a business assistance service.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

A social marketing method according to an aspect of the present invention for solving the above-described problems includes: a computer logging into a social network service account, obtaining metadata included in a post uploaded by another user in the social network service, And determining feedback for the post based on the obtained metadata and performing the determined feedback for the post.

In addition, the feedback includes a comment on the post, and the determining of the feedback may include determining the content of the comment to be left on the post.

In addition, the metadata includes at least one of the image and text included in the post, and the determining of the feedback comprises: analyzing the content of the image included in the post and the content of the image and the text And determining the feedback based on at least one.

In addition, the step of acquiring the metadata further includes acquiring feedback of other users on the post, and the step of determining the feedback is the metadata of the post and feedback of other users on the post. It may include determining the context of the post based on and determining the feedback based on the context of the post.

In addition, the step of determining the context may include: extracting one or more keywords included in the content of the image included in the post, the text included in the post, and other users' feedback on the post, the extracted one or more The method may include determining a property of each keyword and determining a context of the post according to each property of the determined one or more keywords.

In addition, the step of performing the feedback may further include obtaining a second feedback for the performed feedback and canceling the feedback or modifying the content of the feedback according to the content of the second feedback. have.

Further, the step of performing the feedback may further include determining an identity of the logged-in account and determining a time zone for performing the feedback according to the determined identity and the content of the feedback.

Further, the step of performing the feedback may include: following an account of one or more other users, storing a list of accounts of the one or more other users followed, and one or more other users included in the list; After the period, it may further include the step of canceling the follow of the account that has not followed the logged in account.

In addition, the step of performing the feedback may further include the step of evaluating the performance of performing the feedback and targeting the target to perform the feedback according to the evaluation result.

A computer program stored in a recording medium readable by a computer is provided to perform a social marketing method according to an aspect of the present invention in combination with a computer that is hardware.

Other specific matters of the present invention are included in the detailed description and drawings.

According to the disclosed embodiment, there is an effect that can provide a business assistance service that can easily and efficiently carry out a series of processes for entrepreneurship, encompassing idea drawing, business plan creation, development, and marketing.

In addition, it is possible to perform online marketing with high efficiency at a low cost by automatically performing marketing using a social network service.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a conceptual diagram briefly showing a system for providing a business assistance service according to an embodiment.
2 is a flowchart illustrating a type of business assistance service provided according to an embodiment.
3 is a flow chart for explaining the operation of IDIST according to an embodiment.
4 and 5 are diagrams illustrating a system performing the function of an IDIST according to an embodiment.
FIG. 6 is a diagram illustrating a system performing a function of a planist according to an embodiment.
7 is a diagram illustrating a system performing a function of a coordinator according to an embodiment.
8 is a flowchart illustrating an operation of a marketer according to an embodiment.
9 is a diagram illustrating a system performing a function of a marketer according to an embodiment.

Advantages and features of the present invention, and methods for achieving them will be clarified with reference to embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and are common in the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing the embodiments and is not intended to limit the present invention. In the present specification, the singular form also includes the plural form unless otherwise specified in the phrase. As used herein, “comprises” and / or “comprising” does not exclude the presence or addition of one or more other components other than the components mentioned. Throughout the specification, the same reference numerals refer to the same components, and “and / or” includes each and every combination of one or more of the components mentioned. Although "first", "second", etc. are used to describe various components, it goes without saying that these components are not limited by these terms. These terms are only used to distinguish one component from another component. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used as meanings commonly understood by those skilled in the art to which the present invention pertains. In addition, terms defined in the commonly used dictionary are not ideally or excessively interpreted unless explicitly defined.

The term "part" or "module" as used in the specification refers to a hardware component such as software, FPGA, or ASIC, and "part" or "module" performs certain roles. However, "part" or "module" is not meant to be limited to software or hardware. The "unit" or "module" may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Thus, as an example, "part" or "module" means components, processes, functions, attributes, such as software components, object-oriented software components, class components and task components. Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables. The functionality provided within components and "parts" or "modules" can be combined into a smaller number of components and "parts" or "modules" or into additional components and "parts" or "modules" Can be further separated.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram briefly showing a system for providing a business assistance service according to an embodiment.

Referring to FIG. 1, a user client 100 and a server 200 communicating with a user client are illustrated.

In one embodiment, the user client 100 and the server 200 refer to a computer or a program running on the computer.

In the embodiments disclosed herein, the computer is used to include all kinds of devices including at least one processor. For example, a computer means a desktop, laptop (laptop), smartphone or tablet PC.

According to the embodiments disclosed below, all or part of a method for providing a business assistance service is performed by the user client 100 or the server 200.

In one embodiment, the user client 100 transmits information used to provide a business auxiliary service according to the disclosed embodiment to the server 200, and the server 200 provides a business auxiliary service according to the disclosed embodiment The method is performed, and the result is transmitted to the user client 100.

In one embodiment, the user client 100 downloads a program for performing a method of providing a business assistance service according to an embodiment disclosed from the server 200 or another external server from the server 200 and downloads the downloaded program. The method for providing a business assistance service according to the disclosed embodiment is performed.

In one embodiment, the user client 100 accesses the server 200 through a web page, but provides a business assistance service according to the disclosed embodiment using a single page application (SPA) provided from the server 200 How to do it.

The above-described embodiments are provided as examples, and a method in which all or part of a method of providing a business assistance service according to an embodiment disclosed below is performed in the user client 100 or the server 200 is not limited thereto.

2 is a flowchart illustrating a type of business assistance service provided according to an embodiment.

All or part of the business assistance service illustrated in FIG. 2 is performed by the user client 100 or the server 200 illustrated in FIG. 1.

According to the embodiment illustrated in FIG. 2, types of business assistance services include IDIST (320), planist (PLANIST, 340), coordinator (CODIST, 360), and marketer (MARKETIST, 380). .

IDIST 320 is a service that determines a business item and provides a method for deriving ideas for starting a business.

Planist 340 is a service that enables planners to easily create a business plan, quickly produce it in a required form, and assist with business planning and scheduling.

The codist 360 is a service that helps developers easily develop a service according to an idea derived using the IDIST 320 and a business plan established using the PLANIST 340.

In one embodiment, the coordinator 360 includes a CSSIST service that provides a CSS framework that can be published in HTML.

Marketist 380 is a service that helps marketing using social network services.

IDIST, PLANIST, CODIST, CIST and MARKETIST, respectively, are a combination of idea (IDEA), plan (PLAN), code (CODE), CSS and marketing (MARKETING) and assist (ASSIST). Although used as a term in the specification to refer to each component of the business assistance service, any features of the disclosed embodiments are not limited or limited by the name.

3 to 5 are diagrams for explaining the function of an IDIST according to an embodiment.

3 is a flow chart for explaining the operation of IDIST according to an embodiment.

4 and 5 are diagrams illustrating a system performing the function of an IDIST according to an embodiment.

Each of the steps shown in FIG. 3 is performed in time series in the user client 100 or server 200 shown in FIG. 1. Hereinafter, for the convenience of description, the roles of the user client 100 and the server 200 are separately described, and in particular, each step illustrated in FIG. 3 is described as being performed by the server 200. The performer is not limited to the server 200, and all or a part of it may be performed in the user client 100.

In step 322, the server 200 obtains one or more keywords corresponding to the idea from the user client 100.

In one embodiment, the server 200 obtains a keyword in a search-type form separated from the user client 100 in units of keywords or written according to a predetermined rule.

In one embodiment, the server 200 acquires one or more sentences describing the idea from the user client 100 and extracts one or more keywords from the obtained sentences.

For example, the server 200 may acquire information describing an idea interactively with the user client 100.

In addition, the server 200 may obtain a keyword for the idea through a feedback process that transmits a question to derive or deepen the idea to the user client 100 and obtains an answer to the question.

In step 324, the server 200 searches for content including one or more keywords obtained in step 322.

For example, the server 200 may search for content including one or more keywords obtained in step 322 in a DB (database) included in the server 200 or one or more external servers 400.

In one embodiment, the external server 400 may include one or more of the patent DB 410, thesis DB 420, and other web pages 430, but the external server 400 and the external server 400 The type of information included is not limited to this.

In one embodiment, the server 200 may perform a synonym and synonym search of the keyword obtained in step 322 and each keyword obtained in step 322 together, and an antonym search if necessary. In addition, the server 200 may perform a search by dividing the keywords obtained in step 322 into units of morphemes.

In one embodiment, the server 200 may perform a search by automatically creating a search expression including one or more of the keyword obtained in step 322 and a synonym, synonym, antonym, and morpheme of each keyword.

In step 326, the server 200 evaluates the idea based on the search result in step 324.

In one embodiment, the server 200 determines novelty of the idea through searching the patent DB 410 and thesis DB 420. In this specification, novelty is understood as meaning encompassing patent law novelty, advancement and patent registration possibility, and novelty of ideas that can be judged by a person skilled in the art. In addition, the server 200 may determine the marketability of the idea by searching the web page 430. For example, the web page 430 search may be performed through a Google search.

In one embodiment, the server 200 may classify one or more keywords obtained in step 322.

For example, the server 200 classifies one or more keywords obtained in step 322 into a first keyword for determining marketability of the idea and a second keyword for determining novelty of the idea.

In one embodiment, the server 200 provides one or more questions to the user client 100 and extracts one or more keywords from the answers to each question. In one embodiment, the question provided by the server 200 to the user client 100 includes a question for determining the marketability of the idea (for example, a question asking a business area in which the idea is to be included or utilized) and the novelty of the idea. Includes questions for judging (eg, asking for specific or technical content of an idea).

In one embodiment, the server 200 classifies the keyword extracted from the answer of the question asking the marketability of the idea as the first keyword, and the keyword extracted from the answer of the question to determine the novelty of the idea as the second keyword do.

The server 200 searches for each classified keyword. In one embodiment, the server 200 may perform a search by automatically creating a search expression including one or more classified keywords and one or more of synonyms, synonyms, antonyms, and morphemes of each keyword.

As a result of the search finds more content including the first keyword, the server 200 determines that the marketability of the idea is high. In addition, as the search results find less content including the second keyword, the server 200 determines that the novelty of the idea is high.

As an example in which the server 200 classifies one or more keywords, relatively non-technical terms and everyday terms are used to determine the marketability of ideas according to a predetermined criterion. The term can be used to judge the novelty of an idea.

The criteria for determining technical terms and everyday terms may be variously set, but may be classified based on a preset word database or based on qualitative or quantitative analysis of each keyword's Internet search results.

In one embodiment, when searching for the second keyword, the search for the second keyword may be performed within the search result for the first keyword. For example, in order to determine whether a lot of content including the second keyword is found in a business field or a technical field corresponding to the first keyword, the content including the second keyword in the search result for the first keyword A search for can be performed.

As another example, the server 200 may perform a search for one or more keywords obtained in step 322, and classify them into third keywords having many included contents and fourth keywords having little included contents.

The server 200 may determine that the elements of the idea corresponding to the third keyword are elements with high marketability, and the elements of the idea corresponding to the fourth keyword may be determined to be elements having high novelty.

In one embodiment, the server 200 may perform a re-search on the content including the fourth keyword in the search result for the third keyword. For example, in order to determine whether a lot of content including the fourth keyword is found in the business field or the technical field corresponding to the third keyword, the content including the fourth keyword in the search result for the third keyword A search for can be performed.

In step 328, the server 200 provides feedback including the evaluation result of step 326 to the user client 100.

In one embodiment, the feedback provided includes at least one of the marketability and novelty of the idea.

In one embodiment, the server 200 transmits at least one question that may derive a new idea or materialize an existing idea to the user client 100 based on feedback provided. The server 200 obtains additional keywords corresponding to the response of the question from the user client 100 and may perform the operation of step 322 or less again.

For example, if the marketability of the idea is insufficient, the server 200 provides the user client 100 with a question requesting an additional idea about a field or a method in which the idea can be utilized, and the novelty, progress or patent registration possibility of the idea If this is insufficient, the user client 100 may be provided with a question requiring additional ideas for new technical elements or more specific technical contents.

The server 200 may receive a response to the question, additionally derive one or more keywords from the received response, and perform the operation of step 322 or less again.

In one embodiment, the server 200 may repeatedly perform the operations of steps 322 to 328 until an idea having marketability, novelty, advancement, and patent registration potential of a predetermined criterion or more is derived.

In one embodiment, the server 200 selects a fifth keyword that is not frequently found in the search result for the third keyword among the fourth keywords in step 326, and sends information about the fifth keyword to the user client 100 By providing, it is possible to induce the user to add or refine an idea corresponding to the fifth keyword.

For example, the server 200 selects one or more keywords having high commerciality among keywords obtained from the user client 100, and selects one or more keywords that do not appear well in search results for the selected one or more keywords. . The server 200 provides the selected keyword to the user client 100, and the user client 100 can provide the server 200 with additional ideas corresponding to the provided keyword. The server 200 may extract one or more additional keywords from the additional ideas, and perform re-evaluation of the ideas including the extracted additional keywords.

In one embodiment, the question provided by the server 200 to the user client 100 may be a preset question. For example, the server 200 includes a database in which questions that can help in deriving and specifying ideas are stored, and provides the questions included in the database to the user client 100 in a predetermined order or randomly, and each question You can get an answer to

In one embodiment, the question and answer process is performed in step 322, and the operations of steps 324 to 328 may be performed using keywords obtained in the question and answer process.

In another embodiment, the question and answer process is performed in the process between steps 328 and 322, and the questions are selected in a predetermined order, randomly or according to the result of the idea evaluation according to steps 322 to 326, the user client ( 100).

In one embodiment, the server 200 sequentially provides one or more questions to the user client 100 stored in the database, and receives each time an answer to one or more questions is received from the user client 100 A keyword included in the answers may be extracted, and an idea evaluation operation of steps 322 to 326 may be performed on the extracted keywords.

The server 200 provides the user client 100 with the marketability and novelty of the idea evaluated based on the keywords acquired up to a point in time, so that it is displayed on the user client 100, and additional answers from the user client 100 The evaluation may be performed again every time one or a plurality of messages are received to provide the changed evaluation result to the user client 100 to be displayed on the user client 100.

For example, the user is provided with an idea derivation service using the user client 100, but in the process, the user answers a question provided from the server 200, and the answer result is transmitted to the server 200 in real time As an evaluation of the idea corresponding to the answer is performed, the evaluation result may be displayed on the user client 100.

For example, as the user answers many questions, the idea may be reinforced to gradually improve the evaluation result. The user checks the changing evaluation result, answers the question provided from the server 200, stops answering when the marketability or novelty rises above a predetermined reference value or becomes satisfactory to the user, and ends the idea extraction step. .

When the idea derivation step ends, the server 200 organizes the obtained keywords, and searches for at least one of search results and evaluation results for each keyword and ideas including all keywords, and evaluation results. (100).

In one embodiment, the server 200 may provide an idea market service for selling or sharing ideas derived using IDIST 320 or ideas owned by each user.

For example, the server 200 uploads one or more ideas to a space open to the public or to a space open to members with certain criteria, so that other user clients 500 who want the idea can view the uploaded idea. can do.

In one embodiment, the scope of ideas disclosed by the server 200 is limited. When all the ideas are disclosed, there is a risk of theft, so the server 200 introduces to each other user client 500 what ideas each idea is or what value it is without revealing the main point of the idea. You should be able to.

In one embodiment, the server 200 may disclose some of one or more keywords corresponding to the idea, and quantitatively summarize and disclose the evaluation results of each idea according to FIG. 3.

The user client 500 may check the content of the idea based on some keywords, and the value of the idea based on the evaluation result of the marketability and novelty of the idea.

In one embodiment, the idea may be not only an idea derived using IDIST 320 but also an idea held by each user. In this case, the server 200 may utilize the IDEST 320 as an idea evaluation means. For example, the server 200 is provided with a document explaining the idea from each user, or listens to the description using the interface of step 322. The server 200 extracts one or more keywords from a document describing the idea or a description of the idea, and evaluates the value of the idea through the evaluation and feedback processes of steps 324 to 328.

In one embodiment, the server 200 may provide an idea reinforcement service including idea derivation and refinement of steps 322 to 328 to further increase the value of the idea according to the evaluation result.

When the evaluation and reinforcement of each user's idea is completed, the server 200 discloses a part of the content of each idea and the evaluation result, and allows an idea transaction between users.

FIG. 6 is a diagram illustrating a system performing a function of a planist according to an embodiment.

Planist 340 is a service that enables planners to easily create a business plan, quickly produce it in a required form, and assist with business planning and scheduling.

According to the disclosed embodiment, the business plan may be prepared according to at least one of PowerPoint, Word, PDF, Korean, and other document formats, and the server 200 may be stored in the server 200 or stored in an external server. The planner 340 is performed using the database 600.

In one embodiment, database 600 includes a business plan database.

The business plan database includes at least one template document for generating a business plan, and each template document may be stored in the database 600 for each extension or application program.

The server 200 obtains information for preparing a business plan from the user client 100 and generates the business plan by inputting the obtained information into a template document obtained from the database 600.

In one embodiment, the server 200 requests unfilled information from the user client 100 when there is unfilled information in the business plan template, and receives information from the user client 100 to the business plan template. Enter.

The server 200 provides the generated business plan to the user client 100.

In one embodiment, database 600 includes a schedule database.

The schedule database includes at least one schedule information input from the user client 100.

The server 200 generates a business plan schedule by using information included in the schedule database and information about the business plan and goals input from the user client 100.

In one embodiment, the server 200 acquires at least one task corresponding to a business plan and a target time point for achieving each task from the user client 100. The server 200 generates a schedule that allows each task to be achieved at each target time point and stores it in a schedule database.

The server 200 generates a business plan based on information stored in the schedule database, and transmits the generated business plan to the user client 100.

In one embodiment, the server 200 transmits information on one or more tasks necessary to establish a business plan to the user client 100, generates a schedule to achieve each task, or receives input from the user client 100. .

For example, the server 200 is based on the business objectives obtained from the user client 100, establishing a corporation, registering a corporation, registering a business, creating a business plan, attracting investments, developing services, deriving ideas, applying for a patent, and applying for a trademark Information about the task including at least one of the information is delivered to the user client 100, a schedule for performing each task is input from the user client 100, or a recommendation schedule is generated and delivered to the user client 100 do.

The server 200 stores the determined schedule in the schedule database.

7 is a diagram illustrating a system performing a function of a coordinator according to an embodiment.

The codist 360 is a service that helps developers easily develop a service according to an idea derived using the IDIST 320 and a business plan established by using the PLANIST 340.

In one embodiment, the server 200 obtains information for service development from a database 700 stored internally or stored in an external server.

In one embodiment, the database 700 includes one or more of information obtained from a library DB, a code DB, and a web page.

The server 200 searches the library DB, code DB, and other web pages to obtain information for providing a business assistance service according to the disclosed embodiment.

For example, the server 200 may select a language suitable for a service to be developed, and provide a user client 100 with a means for learning the selected language. In one embodiment, the server 200 may translate and organize the programming language, which is mostly English, so that it can be understood in Korean (or the native language of the developer), and provide the organized data to the user client 100. In addition, the server 200 may acquire information on at least one of a programming language, a library, and open source suitable for a service to be developed, and provide it to the user client 100.

8 to 9 are diagrams for explaining the function of a marketer according to an embodiment.

8 is a flowchart illustrating the operation of the marketer 380 according to an embodiment.

9 is a diagram illustrating a system performing the function of the marketer 380 according to an embodiment.

Each of the steps shown in FIG. 8 is performed in time series in the user client 100 or the server 200 shown in FIG. 1. Hereinafter, for the convenience of description, the roles of the user client 100 and the server 200 are separately described, and in particular, each step illustrated in FIG. 8 is described as being performed by the server 200, but of each step The performer is not limited to the server 200, and all or a part of it may be performed in the user client 100.

In step 382, the server 200 logs in to a social network service account corresponding to user information obtained from the user client 100.

In the disclosed embodiment, the social network service includes Facebook, Instagram, Twitter, blog, and various other types of social network service (SNS). Referring to FIG. 9, the social network service is illustrated as being managed by the SNS server 800, but the subject who manages the social network service is not limited thereto, and the server 200, a plurality of servers, or a Klaus server are social Network services can be managed.

In one embodiment, the server 200 logs in to the user's personal account or the account of the company the user wants to promote.

In one embodiment, the server 200 uploads a post to the logged in account. The content of the uploaded post may be selected at random or may be selected according to preset guidelines.

For example, the server 200 may generate a post about content that is an issue through online search. In addition, the server 200 may generate a post about the content that is an issue, but may include promotion information about a company to be promoted in at least a part of the post.

In addition, the server 200 may acquire at least a part of the content of the post to be uploaded from the user client 100, and automatically generate and upload the post based on the obtained content.

The server 200 performs marketing using a social network by interacting with other users and accounts of other users using a logged in account.

In step 384, the server 200 acquires metadata included in the post uploaded by another user in the social network service logged in in step 382.

In one embodiment, the posts of other users or other users may be randomly selected, may be selected based on information obtained from the user client 100, or at least one included in the account to which the server 200 is logged in. It may be selected based on the metadata of.

For example, the server 200 may obtain at least one keyword from the user client 100 and select a post including the obtained keyword in the body or hashtag. Also, the server 200 may select another user who uploaded the selected post.

In one embodiment, the metadata includes at least one of a photo included in a post, a text, a hash tag, and a number of comments and sympathy on the post.

In step 386, the server 200 determines feedback for the post based on the metadata obtained in step 384.

In one embodiment, the feedback includes empathy and comments, and at least one of following the account of the user who uploaded the post.

In one embodiment, the server 200 analyzes the metadata obtained in step 384 to determine the content of the comment to be left in each post. For example, the server 200 recognizes at least one object in the photo included in the post, and determines the content of the comment to correspond to the recognized object. For example, the server 200 may determine that the picture included in the post is a picture of food using a predetermined image analysis method. The server 200 may generate a comment that the food included in the picture looks delicious.

In one embodiment, the server 200 may include a database of preset comments corresponding to the content of metadata. The server 200 may analyze the content of metadata included in each post, and obtain preset comments corresponding to the analyzed content from the database.

In one embodiment, the server 200 extracts at least one keyword from the obtained metadata, searches for other posts including the extracted keyword, and acquires one or more comments attached to the searched post. The server 200 may generate a comment by selecting one of the obtained comments or combining the obtained comments.

In one embodiment, the server 200 may determine the context of each post using one or more metadata. For example, when the flower is recognized in the photo included in the post, the server 200 may generate a comment that the flower is pretty. However, flower photos are uploaded to express feelings of mourning or mourning, and there may be posts that are not suitable for commenting that flowers are pretty.

Therefore, the server 200 may determine the context of the post by analyzing not only the picture of the post, but also the content of the body, hashtag, sympathy content of other users, and comments of other users. The server 200 may generate feedback based on the content of each metadata and the context of the post derived therefrom.

In one embodiment, the server 200 determines whether the atmosphere of the post is positive or negative in order to determine the context of the post. The server 200 may distinguish between positive and negative words based on a preset criterion or a database according to the preset criterion. For example, the server 200 may include a database in which positive words and negative words are classified.

In one embodiment, the server 200 may classify the type of the post according to a preset criterion to determine the context of the post. For example, the server 200 uses a keyword of the content of the picture and text (including body text, hashtag, and comments) included in the post to determine whether the post is enjoyable, sad or depressed, or everyday. It can be classified whether it is content that conveys information, expresses feelings of anger, or whether it is for business or publicity. The method in which the server 200 classifies contents using keywords may be performed by a predetermined keyword list, or may be performed using at least one trained model capable of classifying contexts according to keywords.

The server 200 may determine whether the atmosphere of the post is positive or negative based on the number of positive and negative words included in the post.

In one embodiment, when the context of the post cannot be determined, the server 200 may suspend the judgment on the post. The server 200 may suspend judgment on the post until feedback of other users is added to the post and the context of the post can be determined.

When the feedback of other users is added to a post more than a predetermined criterion or the context of the post can be determined to be greater than a predetermined probability based on the feedback of other users, the server 200 determines the feedback of the post and determines the feedback Can generate

In one embodiment, the server 200 may generate feedback for the post by imitating feedback left by other users in the same post. For example, in the case of Facebook, if another user clicks 'Like', they can press 'Like' together, and if another user presses 'Sorrow', they can press 'Sorrow' together. Also, the server 200 may generate a comment similar to a comment written by another user.

In one embodiment, the server 200 acquires at least one keyword to be included in a comment from the user client 100. The server 200 generates a comment using the acquired keyword, but if the same comment is repeatedly left, it may be subject to sanctions by the social network service system, so that each comment is randomly set with different symbols or words. You can add them in order.

In step 388, the server 200 performs the determined feedback in step 386.

For example, the server 200 may display empathy for each post, leave a comment, share a post, follow the user who uploaded the post, or send a message to the user who uploaded the post.

In one embodiment, the server 200 may receive secondary feedback for feedback left in each post. For example, the server 200 may obtain a large comment for a comment left in the post.

The server 200 may modify or delete existing feedback corresponding to the secondary feedback, based on the obtained secondary feedback.

In one embodiment, when the negative secondary feedback for the feedback is obtained, the server 200 may determine that there is a problem in the feedback content and correct or delete the content of the feedback.

For example, the server 200 may have incorrectly judged the context of the post in step 386 and commented inappropriately. In this case, the server 200 judges whether feedback content such as 'Like' or 'I dislike' the comment, and whether the content of the large comment about the comment is positive or negative, and negative empathy such as 'I dislike' the comment. If there is a lot of feedback, or if the content of the large comment is negative, you can delete the comment or revise the context of the post to edit the comment.

Also, in some cases, the server 200 may write and leave an apology comment indicating that the previous comment was inappropriate and there was a mistake.

In one embodiment, when the negative secondary feedback occurs, the server 200 may notify the administrator of the negative secondary feedback occurrence for proper response. In this case, the server 200 may obtain an appropriate countermeasure from the administrator and operate according to the obtained countermeasure. For example, the server 200 may delete a comment according to the command of the administrator, modify the comment according to the content written by the administrator, or leave an apology comment.

The server 200 judges the context of the post again with reference to the content of the secondary feedback, and the existing judgment result, the result of the judgment, and the determination process are stored in the server 200 or the context learning model of the server 200 It is used to re-learn.

In one embodiment, the server 200 induces other users to visit or follow the account in which the server 200 is logged in by leaving feedback on another user's account and other user's post.

In one embodiment, the server 200 may leave feedback on other users' accounts and other user's posts, but other users may visit or follow with interest in other accounts other than the account to which the server 200 is logged in. You can leave feedback on what you are doing. For example, the server 200 may leave feedback of contents recommending the corresponding account along with the ID or link of the specific account in another user's post.

For example, the server 200 may operate by logging in to an account of a specific company in order to promote an account of a specific company, but operate in a manner of recommending the account of the relevant company using an account of a general person, not a person related to the company. It might be.

In this case, the server 200 may set the identity of each account so that each account appears to be an actual general user.

For example, the server 200 may set each account to be an account of a student, a homemaker, or an office worker, and set the content uploaded to each account to match the identity of the account. In addition, the server 200 may set an activity time suitable for the identity of each account, and mainly perform a feedback operation at the set activity time. For example, the server 200 may perform a feedback operation for posts of other users or other users in the after school hours for students, daytime hours for homemakers, and evening hours for office workers. In addition, the server 200 may write comments or posts in different words and vocabularies according to the identity of each account.

In addition, the server 200 performs a feedback operation, but when a feedback operation of a predetermined number or more per day can be blocked by being recognized as a macro or a bot by the SNS server 800, it is less than or equal to a preset number. Feedback can be performed periodically.

In one embodiment, the server 200 performs follow-up actions and management functions for public relations activities.

For example, when the account of one or more other users is followed according to the feedback of step 388, the server 200 may store a list of other users who have followed. The server 200 may classify users who have followed the account logged in from the server 200 and users who have not followed, among one or more other users included in the stored list.

The server 200 may identify a user who has followed the account logged in at the server 200 and a user who has not followed, among users included in the above list at predetermined intervals.

The server 200 may cancel following the user who has not followed the account logged in at the server 200 for a predetermined period or more. The predetermined period may be variously set, it may be arbitrarily set, or may be set according to the request of the user client 100.

In one embodiment, the server 200 may generate statistical data according to a result of feedback performed according to step 388.

For example, the server 200 may generate statistics on the posts of other users who have followed, displaying sympathy, or commenting on other users. In addition, the server 200, among other users who left feedback, has a performance (e.g., provides secondary feedback for feedback, visits an account logged in from the server 200, or uploads from the server 200) You can generate statistics on the number or percentage of other users, such as giving feedback on one post. The server 200 may generate and classify statistics according to the type of other users or the types of posts uploaded by other users.

That is, the server 200 may classify the performance of leaving feedback by user type or post type. The server 200 may acquire a type of a user with high performance or a type of post.

The server 200 may provide a target type by providing the type of the user with high performance or the type of the post to the user client 100, or may perform retargeting using the directly acquired type.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, a software module executed by hardware, or a combination thereof. The software modules may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer readable recording medium well known in the art.

The embodiments of the present invention have been described above with reference to the accompanying drawings, but a person skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing its technical spirit or essential features. You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all respects and not restrictive.

100: user client
200: server

Claims (6)

A computer acquiring a social network service account for social marketing from a user client and logging into the social network service account;
The computer automatically obtaining at least one metadata included in a post uploaded by another user in the social network service using the logged in account;
Determining, by the computer, feedback for the post based on the obtained at least one metadata; And
The computer automatically performing the determined feedback on the post using the logged in account; It includes,
Determining the feedback for the post,
The meta data of the post including at least one of an image included in the post, a text included in the post, a hash tag included in the post, and other users' feedback on the post is analyzed to analyze the metadata of the post. Determining the context of the post; And
Generating the content of the feedback corresponding to the context of the post,
Determining the context of the post,
Recognizing at least one object from an image included in the post, and extracting one or more keywords included in the text;
Analyzing a property indicated by the recognized at least one object and a property indicated by the extracted one or more keywords according to a preset criterion; And
Determining a context of the post according to a property indicated by the analyzed at least one object and a property indicated by the analyzed one or more keywords; Including,
The step of performing the feedback,
Determining the identity of the logged in account; And
And setting a time zone for performing the feedback and the content of the feedback according to the determined identity,
The step of performing the feedback,
Evaluating the performance of performing the feedback; And
Targeting a target to perform feedback according to the evaluation result; Social marketing method further comprising. According to claim 1,
The feedback includes comments on the post,
Determining the feedback,
Determining the content of the comment to leave in the post; Including, social marketing method. According to claim 1,
The step of performing the feedback,
Obtaining secondary feedback for the performed feedback; And
Canceling the feedback or correcting the content of the feedback according to the content of the secondary feedback; Social marketing method further comprising. According to claim 1,
The step of performing the feedback,
Following one or more other users'accounts;
Storing a list of accounts of one or more other users who have followed; And
Canceling a follow-up of an account that has not followed the logged-in account after a predetermined period among one or more other users included in the list; Social marketing method further comprising. delete A computer program stored in a recording medium readable by a computer so as to perform the method of any one of claims 1 to 4 in combination with a computer that is hardware.

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