JP2009169606A - User familiarity measuring apparatus and method, program, and computer-readable recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To measure and clarify intimacy by extracting/analyzing the action records of users in an invitation system on-line personal page holding type service. <P>SOLUTION: When the action records of each user in an invitation system on-line personal page holding type service are input, invitation relation information, introduction relation information, direct communication relation information, and indirect communication relation information are extracted from the action records about each user, and stored in a user relation information database to be associated with the identifier of each user, and information is acquired from the user relation information database on the basis of the identifier of the user, and inter-user intimacy is measured, and scored and output. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a user intimacy measuring apparatus, method, program, and computer-readable recording medium, and more particularly, to a user intimacy measuring apparatus, method, program, and computer-readable recording medium in an invitation-based online personal page possession type service. About. Specifically, a user intimacy measurement apparatus and method for measuring the intimacy of each user by analyzing the invitation relationship / introduction relationship / direct communication relationship / indirect communication relationship in the online personal page possession type service by invitation system And a program and a computer-readable recording medium.

In recent years, invitation-based online personal page possession services have become very popular, and there are SNSs (Social Networking Services) in which millions of users participate in Japan. In such an SNS having a large number of users, there is a high need for measuring the intimacy between users, and mainly the similarity of personal information input in advance by each user and the similarity of semantic contents of created documents. There is a technique for measuring the related depth of each user by using it (see, for example, Patent Document 1).
JP 2000-132509 A

  However, there are users who are intimately related to each other, such as frequently browsing each other's pages and sending messages to each other, in the online personal page ownership type service. However, since the information on how close each user is (hereinafter referred to as “intimacy”) is not explicitly expressed, the user and the service provider must grasp the intimacy between the users. Is difficult.

  In the method of the above-mentioned Patent Document 1, information on whether each user is actually communicating with each other and what kind of human relationship is involved is not considered, and it is difficult to measure the intimacy between users.

  The present invention has been made in view of the above points, and a user who can measure and clarify intimacy by extracting and analyzing action records between users in an invitation-based online personal page possession type service An object of the present invention is to provide an intimacy measuring apparatus and method, a program, and a computer-readable recording medium.

  FIG. 1 is a principle configuration diagram of the present invention.

The present invention (Claim 1) is a user closeness measuring apparatus in an invitation-only online personal page possession type service represented by a social networking service,
Invitation-related information about who each user is invited to and who is invited, which user's introductory text is posted on their own page, and which user is introducing the introductory text, including introductory text A user relationship information database 16 storing introductory relationship information, direct communication relationship information regarding direct communication between users, and indirect communication relationship information regarding indirect communication between users;
An input means 12 for accepting an input of each user's action record in the invitation-only online personal page possession type service;
User relation extraction means 13 for extracting the invitation relation / introduction relation / direct communication relation / indirect communication relation of each user from the action record, associating it with the identifier of each user, and storing it in the user relation information database;
User familiarity measuring means 14 for acquiring information from the user relationship information database 16 based on the user identifier, measuring the familiarity between users, and scoring;
Measurement result output means 15 for outputting the result of the user familiarity measurement means 14 in an appropriate format / form.

Further, the present invention (Claim 2) is provided in the user familiarity measuring means 14,
Read the invitation relation information, the introduction relation information, the direct communication relation information, and the indirect communication relation information from the user relation information database 16,
The intimacy between each user,
Score (Intimacy A & B)
= W (Invitation relationship A & B) x Score (Invitation relationship A & B)
+ W (Introduction-related A & B) x Score (Introduction-related A & B)
+ W (Direct communication A & B)
× Score (Direct communication relationship A & B)
+ W (Indirect communication relationship A & B)
× Score (Indirect communication relationship A & B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
Ask for.

Further, the present invention (Claim 3) is provided in the user familiarity measuring means 14,
Read invitation relation information, introduction relation information, direct communication relation information, indirect communication relation information from the user relation information database,
Intimacy considering the direction of communication between each user,
Score (intimacy A → B)
= W (Invitation relationship A → B) x Score (Invitation relationship A → B)
+ W (Introduction relationship A → B) x Score (Introduction relationship A → B)
+ W (Direct communication relationship A → B)
× Score (Direct communication relationship A → B)
+ W (Indirect communication relationship A → B)
× Score (Indirect communication relationship A → B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
The means to obtain is included.

  FIG. 2 is a diagram for explaining the principle of the present invention.

The present invention (Claim 4) is a method for measuring user intimacy in an invitation-only online personal page possession type service represented by a social networking service,
In the user familiarity measuring device,
An input step (step 1) for receiving input of an action record of each user in the invitation-only online personal page possession type service;
The user relation extraction means, for each user from the action record, invites each user to be invited, invite relation information on who invited, and which user's introduction sentence is posted on his / her page, which user Introductory relation information including introductory text, direct communication relation information regarding direct communication between users, indirect communication relation information regarding indirect communication between users, A user relationship extraction step (step 2) for storing in the user relationship information database in association with the user identifier;
A user familiarity measuring step (step 3) of acquiring information from the user relation information database based on the user identifier, measuring the familiarity between users, and scoring;
A measurement result output step (step 4) for outputting the result of the user familiarity measurement step in an appropriate format / form.

Further, according to the present invention (Claim 5), in the user familiarity measuring step (Step 3),
Read invitation related information, introduction related information, direct communication related information, indirect communication related information from the user related information database,
The intimacy between each user,
Score (Intimacy A & B)
= W (Invitation relationship A & B) x Score (Invitation relationship A & B)
+ W (Introduction-related A & B) x Score (Introduction-related A & B)
+ W (Direct communication A & B)
× Score (Direct communication relationship A & B)
+ W (Indirect communication relationship A & B)
× Score (Indirect communication relationship A & B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
Ask for.

Further, according to the present invention (Claim 6), in the user closeness measurement step (Step 3),
Read invitation relation information, introduction relation information, direct communication relation information, indirect communication relation information from the user relation information database,
Intimacy considering the direction of communication between each user,
Score (intimacy A → B)
= W (Invitation relationship A → B) x Score (Invitation relationship A → B)
+ W (Introduction relationship A → B) x Score (Introduction relationship A → B)
+ W (Direct communication relationship A → B)
× Score (Direct communication relationship A → B)
+ W (Indirect communication relationship A → B)
× Score (Indirect communication relationship A → B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
Ask for.

  The present invention (Claim 7) is a user familiarity measurement program that causes a computer to function as each means constituting the user familiarity measurement apparatus according to any one of Claims 1 to 3.

  The present invention (Claim 8) is a computer-readable recording medium storing the user closeness measuring program according to Claim 7.

  As described above, according to the present invention, in the invitation-only online personal page possession type service, the user and the service provider can objectively grasp the closeness between the users as a score.

  Thereby, for example, it is known that the user A who is his friend and the unknown user B are intimate, and the exchange of communication with the user B can be expected.

  In addition, the service provider that has distributed the advertisement information of the specific product to the user A distributes the same advertisement information to users who have a certain degree of closeness with the user A and aims to expand the reviews, etc. Can also be used.

  Furthermore, it is possible to measure intimacy by using only language-independent information (if possible, you can use semantic information in the introductory text, but only language-independent information. (Each element of the first algorithm described later can be calculated). In SNS and the like, a very simple colloquial language is often used, and an advanced language processing technique is required for content analysis, but this process is not necessary in the present invention. Moreover, since only language-independent information is used, multilingual correspondence is easy.

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

  In the present embodiment, SNS will be described as an example. It is assumed that the SNS exemplified below has the following specifications in the same manner as a general SNS.

  Each user can own his / her page by being invited to one other user.

  Each user can invite multiple people.

  ・ Each user can post introductions of multiple other users on his / her own page.

  Each user can register another user as his / her friend. At the time of registration, one user makes an application to the other user to register as a friend, and if the other user has permission, both users are registered as friends.

  -Each user can browse other users' pages, and can add comments to them.

  Each user has a valid e-mail address in the SNS and can exchange messages directly.

  A shared page such as an electronic bulletin board (hereinafter referred to as “BBS”) exists separately from the individual page of each user, and each user can speak there.

  Each user can establish and participate in a user group (hereinafter referred to as “community”) having the same taste and purpose.

  FIG. 3 shows a configuration of the user closeness measuring apparatus according to the embodiment of the present invention.

  The user familiarity measuring device 10 shown in the figure is connected to a user behavior recording storage device 11 that stores user behavior records, a display device that outputs the user familiarity measurement results, and an output device 17 such as a printer. ing. The user action record storage device 11 is a general device such as a database that implements SNS. However, as long as the information necessary for the subsequent processing is included, the information may not be in the database format.

  The user familiarity measuring device 10 includes a user action record input unit 12, a user relationship extraction unit 13, a user familiarity measurement unit 14, a user familiarity output unit 15, and a user relationship information database 16.

  The user action record input unit 12 reads data from the user action record storage device 11 and passes the data (user action record) to the user relationship extraction unit 13. When the user action recording device 11 is in a database format, a query is issued to read database data.

  The user relation extraction unit 13 extracts user invitation relations / introduction relations / direct communication relations and indirect communication relations from the data passed by the user action record input part 12 and associates them with the identifiers of the respective users. Stored in the user relation information database 16, the identifier of each user is passed to the user closeness measurement unit 14.

  Here, the “invitation relationship” is information regarding who each user is invited to and who is invited. The “introduction relationship” is information regarding which user has introduced an introductory text on each user's page and which user has introduced the introductory text, and information regarding the introductory text itself. “Direct communication relationship” refers to direct communication between users (accessing other users' pages, sending comments, sending in-service emails to other users, registering as friends, etc.) Information. “Indirect communication relationship” refers to communication between users (speaking in the same thread of in-service BBS (Bulletin Boad system), belonging to the same community using the community participation function provided by the service. Etc.).

  The user relationship information database 16 stores invitation relationship information, introduction relationship information, direct communication relationships between users, and indirect communication relationships.

  FIG. 4 shows a data format of the user relation information database 16 storing the invitation relation information. The user relationship information database 16 shown in the figure stores the invited user identifier, the invited user identifier, and the date and time when the invitation was performed.

  FIG. 5 shows a data format of the user relation information database 16 storing the introduction relation. In the example of the figure, the introduced user identifier, the introduced user identifier, the date and time when the introduction was performed, and the introduction sentence are stored.

  FIG. 6 shows the data format of the user relationship information database 16 that stores direct communication relationships. In the example of the figure, the action source user identifier, the action destination user identifier, the date and time when the action was performed, the type of action, and the contents of the action are stored.

  FIG. 7 shows the data format of the user relationship information database 16 that stores indirect communication relationships. In the example of the figure, the action source user identifier, the action destination user identifier, the date and time when the action was performed, the type of action, and the contents of the action are stored.

  The user closeness measurement unit 14 acquires necessary information from the user relationship information database 16 based on the identifier of each user passed by the user relationship extraction unit 13, and measures the closeness between the users based on a predetermined algorithm. Then, it is scored (hereinafter referred to as “intimacy score”) and stored in the user relationship information database 16, and the identifier of each user is output to the user intimacy output unit 15. Below, two examples of algorithms for obtaining the familiarity scores of the user A and the user B are shown.

  First, the first algorithm is shown.

Score (Intimacy A & B)
= W (Invitation relationship A & B) x Score (Invitation relationship A & B)
+ W (Introduction-related A & B) x Score (Introduction-related A & B)
+ W (Direct communication A & B)
× Score (Direct communication relationship A & B)
+ W (Indirect communication relationship A & B)
× Score (Indirect communication relationship A & B)
(W (x): x weight, Score (x): x score)
The above-mentioned Score (invitation relationship A & B) is obtained from the value acquired from the user relationship information database 16 shown in FIG. In addition to this, when calculating the score, the elapsed time from the time the invitation was made to the present time may be reflected in the score.

  The above Score (introduction relationship A & B) is obtained from the value acquired from the user relationship information database 16 shown in FIG. 5, and the user A (or user B) changes the introduction sentence of the user B (or user A). It will be higher if you are writing, and it will be higher if both are writing each other's introductions. In addition, when calculating the score, you may consider the time when each introductory sentence was written, the number of characters in the introductory sentence, etc. It may be reflected.

  The above Score (direct communication relationship A & B) is obtained from the data acquired from the user relationship information database 16 shown in FIG. 6, and the page of the user A (or user B) is the user B (or user A). The number is increased in proportion to the number and frequency of access, the number and frequency of sending comments, and the number and frequency of sending emails, and further increases when both are accessing, sending comments, and sending emails. In addition, as user A (or user B) registers user B (or user A) as his friend, or as a long period of time has elapsed since registration, the score is higher, and both are friends with each other. If it is registered as, it will be even higher. In addition to this, when calculating the score, the number of characters in the comment / email and the semantic content may be reflected in the score as described above.

  The above-mentioned Score (indirect communication relationship A & B) is obtained from data acquired from the user relationship information database 16 shown in FIG. 7, and the number and frequency of user A and user B speaking in the same thread of the BBS, It increases in proportion to the number of communities participating in common. In addition to this, the content of the conversation between the user A and the user B in the BBS thread may be analyzed using a general document meaning content analysis device or the like and reflected in the score.

  Next, a second algorithm for obtaining the familiarity is shown below. The following is an example in which the direction of intimacy is considered, and the intimacy from user A to user B is calculated.

Score (intimacy A → B)
= W (Invitation relationship A → B) x Score (Invitation relationship A → B)
+ W (Introduction relationship A → B) x Score (Introduction relationship A → B)
+ W (Direct communication relationship A → B)
× Score (Direct communication relationship A → B)
+ W (Indirect communication relationship A → B)
× Score (Indirect communication relationship A → B)
(W (x): x weight, Score (x): x score)
The above Score (invitation relationship A → B) increases when user A invites user B. In addition to this, when calculating the score, the elapsed time from the time the invitation was made to the present time may be reflected in the score.

  The above Score (introduction relationship A → B) becomes high when the user A writes the introduction sentence of the user B. In addition, when calculating the score, you may consider the time when each introductory sentence was written, the number of characters in the introductory sentence, etc., and score the meaning content of the introductory sentence using a general document semantic content analyzer. It does not matter if it is reflected in

  The above Score (direct communication relationship A → B) increases in proportion to the number and frequency of user A's access to user B's page, the number and frequency of sending comments, and the number and frequency of sending emails. . In addition, the score increases as the user A applies to the user B to register as his / her friend or a long time has passed since the registration.

  The above score (indirect communication relationship A → B) is proportional to the number and frequency of user A's response to the remarks made by user B at the BBS, and the number of users A participating in the community established by user B. Get higher.

  In addition to this, the content of the conversation between the user A and the user B in the BBS thread may be analyzed using a general document meaning content analysis device or the like and reflected in the score.

  The user familiarity output unit 15 acquires the familiarity score between each user from the user relationship information database 16 based on the user identifier passed by the user familiarity measurement unit 14, and the user familiarity output unit 15 in an appropriate form in a list format. The density result 17 is output.

  In the above two algorithms, an index that does not directly represent intimacy, such as “invitation relationship” or “introduction relationship”, is converted into an index that represents intimacy by considering the user's behavior and psychology. ing. The fact that user A invites user B to an invitation-only online personal page possessing service means that both have a means of communicating with each other in addition to the service, and it can be said that there is a certain degree of intimacy. . In many service forms, the act of writing an optional introduction and posting it on its own page is often performed when the user is familiar with him.

  In addition to direct communication such as access / comments / email / friend registration as user relations, intimacy in consideration of indirect communication such as having spoken in the same BBS thread or belonging to the same community Is measuring.

  Further, as shown in the algorithm for obtaining the first familiarity, the familiarity score is an index composed of a plurality of elements, and the score can be derived even when some elements cannot be used depending on the service or the situation.

  In addition, it is possible to construct the operation | movement of the component of said user familiarity measuring apparatus as a program, install and run it on the computer utilized as a user familiarity measuring apparatus, or to distribute | circulate through a network. .

  Further, the constructed program can be stored in a portable storage medium such as a hard disk, a flexible disk, or a CD-ROM, and can be installed or distributed in a computer.

  The present invention is not limited to the above-described embodiment, and various modifications and applications can be made within the scope of the claims.

  In addition to social networking services (hereinafter referred to as SNS), the present invention can acquire an environment in which each user is invited to another user to hold his / her page online as an invitation-based online personal page possession type service. , You can optionally post other users' introductory text on their own pages, register other users as friends, send comments and in-service emails to other users, and exchange comments on shared pages It can be applied to services that can establish and participate in communities with common tastes and purposes.

It is a principle block diagram of this invention. It is a figure for demonstrating the principle of this invention. It is a block diagram of the user closeness measuring apparatus in one embodiment of this invention. It is an example of the user relationship information database (invitation relationship) in one embodiment of this invention. It is an example of the user relationship information database (introduction relationship) in one embodiment of this invention. It is an example of the user relationship information database (direct communication relationship) in one embodiment of this invention. It is an example of the user relationship information database (indirect communication relationship) in one embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 User closeness measuring apparatus 11 User action recording storage device 12 Input means, User action record input part 13 User relation extraction means, User relation extraction part 14 User closeness measurement means, User closeness measurement part 15 Measurement result output means, user Intimacy output unit 16 User relation information database 17 Output device

Claims (8)

A user familiarity measuring device in an online personal page ownership type service represented by a social networking service,
Invitation-related information about who each user is invited to and who is invited, which user's introductory text is posted on their own page, and which user is introducing the introductory text, including introductory text User relationship information database storing introductory relationship information, direct communication relationship information regarding direct communication between users, indirect communication relationship information regarding indirect communication between users, and
An input means for receiving an input of each user's action record in the invitation-only online personal page possession type service;
User relationship extraction means for extracting the invitation relationship / introduction relationship / direct communication relationship, indirect communication relationship of each user from the behavior record, associating it with the identifier of each user, and storing it in the user relationship information database;
User familiarity measuring means for obtaining information from the user relationship information database based on the user identifier, measuring the familiarity between users, and scoring;
Measurement result output means for outputting the result of the user familiarity measurement means in an appropriate format / form;
A user familiarity measuring apparatus characterized by comprising: The user intimacy measuring means includes
Read the invitation relation information, the introduction relation information, the direct communication relation information, the indirect communication relation information from the user relation information database,
The intimacy between each user,
Score (Intimacy A & B)
= W (Invitation relationship A & B) x Score (Invitation relationship A & B)
+ W (Introduction-related A & B) x Score (Introduction-related A & B)
+ W (Direct communication A & B)
× Score (Direct communication relationship A & B)
+ W (Indirect communication relationship A & B)
× Score (Indirect communication relationship A & B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
The user intimacy measuring apparatus according to claim 1, further comprising means for obtaining by: The user intimacy measuring means includes
Read the invitation relation information, the introduction relation information, the direct communication relation information, the indirect communication relation information from the user relation information database,
Intimacy considering the direction of communication between each user,
Score (intimacy A → B)
= W (Invitation relationship A → B) x Score (Invitation relationship A → B)
+ W (Introduction relationship A → B) x Score (Introduction relationship A → B)
+ W (Direct communication relationship A → B)
× Score (Direct communication relationship A → B)
+ W (Indirect communication relationship A → B)
× Score (Indirect communication relationship A → B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
The user intimacy measuring apparatus according to claim 1, further comprising means for obtaining by: A method for measuring user intimacy in an invitation-only online personal page owned service represented by a social networking service,
In the user familiarity measuring device,
An input step for receiving an input of an action record of each user in the invitation-only online personal page possession type service;
User relation extraction means, for each user from the action record, each user has been invited to whom, invited relation information regarding who invited, each user posted on their page, which user's introduction sentence, Introductory relation information including the introduction sentence, direct communication relation information about direct communication between users, indirect communication relation information about indirect communication between each user, A user relationship extraction step for storing in the user relationship information database in association with the identifier of each user;
A user familiarity measuring step of obtaining information from the user relation information database based on the user identifier, measuring the familiarity between users, and scoring;
A measurement result output step for outputting the result of the user familiarity measurement step in an appropriate format / form;
A method for measuring user familiarity. In the user intimacy measurement step,
Read the invitation relation information, the introduction relation information, the direct communication relation information, the indirect communication relation information from the user relation information database,
The intimacy between each user,
Score (Intimacy A & B)
= W (Invitation relationship A & B) x Score (Invitation relationship A & B)
+ W (Introduction-related A & B) x Score (Introduction-related A & B)
+ W (Direct communication A & B)
× Score (Direct communication relationship A & B)
+ W (Indirect communication relationship A & B)
× Score (Indirect communication relationship A & B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
The method for measuring user intimacy according to claim 4, obtained by: In the user intimacy measurement step,
Read the invitation relation information, the introduction relation information, the direct communication relation information, the indirect communication relation information from the user relation information database,
Intimacy considering the direction of communication between each user,
Score (intimacy A → B)
= W (Invitation relationship A → B) x Score (Invitation relationship A → B)
+ W (Introduction relationship A → B) x Score (Introduction relationship A → B)
+ W (Direct communication relationship A → B)
× Score (Direct communication relationship A → B)
+ W (Indirect communication relationship A → B)
× Score (Indirect communication relationship A → B)
(However, A and B are user identifiers, W (x): weight of x, Score (x): score of x)
The method for measuring user intimacy according to claim 4, obtained by:   A user familiarity measuring program which causes a computer to function as each means constituting the user familiarity measuring apparatus according to any one of claims 1 to 3.   A computer-readable recording medium storing the user closeness measuring program according to claim 7.

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