JP2008234580A - Contribution processor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To attain a contribution processor by which users easily acquire useful information from among enormous quantity of contribution data. <P>SOLUTION: The processor refers to evaluation of contribution data by users and classifies the users into a plurality of groups. The processor calculates the total evaluation degrees of the respective pieces of data for every group from among a plurality of pieces of evaluation to one piece of contribution data in the groups, refers to the calculated total evaluation degrees to determine display methods regarding the contribution data for every group. The processor receives a browsing request of contribution list data indicating a list of the contribution data from a client terminal, transmits the contribution list data to the requester client terminal and when the browsing request is received from the client terminal of the user, transmits display specification data indicating the display method determined to a group to which the user belongs to the requester client terminal. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a technique for electronically publishing posted data, and more particularly, to a technique for determining whether or not to publish posted data.

  In recent years, with the spread of computers and the advancement of network technology, the exchange of electronic information via the network has become popular. An example is an electronic bulletin board system. In an electronic bulletin board system, a user transmits post data from a client terminal to a server. The server posts the received post data electronically. Another user can check the posted data posted electronically on the client terminal. The electronic bulletin board system is widely used as an effective tool for information sharing among a plurality of persons.

As an example of the electronic bulletin board system, there is a Web site for posting the impression of a product purchaser. The user who purchased the product transmits post data describing the impression of the product to the website. Posting data on various products is collected on the Web site. The user uses so-called word-of-mouth information obtained from the same consumer's viewpoint by accessing such a Web site as a judgment material when purchasing a product. Word-of-mouth information is often the decisive factor in purchasing decisions.
JP 2001-331525 A JP-A-2005-339140 JP 2003-50778 A

  On the other hand, a user needs a great effort to find useful information from a large amount of post data. The present invention is an invention made in view of the above problems, and its main purpose is to provide a technique for realizing a post processing device that allows a user to easily obtain useful information from a large amount of post data. It is in.

  An aspect of the present invention relates to a post processing apparatus that is connected to a plurality of client terminals via a communication network and electronically publishes post data received from a client terminal to other client terminals. In the present embodiment, “post data” refers to all data transmitted by the user to the post processing device, and includes not only text data but also image data, video data, numerical values, tables, graphs, and other data. included.

  This apparatus classifies users of client terminals into groups, classifies the classified users into lower groups, classifies the users into a plurality of unit groups, and sets the display method of data related to posted data for each unit group. To decide. Hereinafter, this apparatus will be described in more detail.

  This apparatus receives from the client terminal evaluation data indicating the user's evaluation of the content of the posted data selected from a plurality of options. This apparatus holds evaluation data, post data to be evaluated, and a user who has input the evaluation data in association with each other. This device calculates the user ratio for each posting data, with the ratio of the number of users who have selected the first option and the number of users who have selected the second option for one post data for a given group as the user ratio. To do.

  The apparatus selects post data for which the calculated user ratio satisfies a predetermined condition as reference post data that serves as a reference for classifying users in a predetermined group into lower groups. This apparatus executes a classification process for classifying users belonging to the predetermined group into at least two lower groups based on whether the first option or the second option is selected for the standard posting data. To do.

  This apparatus classifies the user into a plurality of unit groups by repeating the classification process for any group classified based on the reference posting data a plurality of times. This apparatus calculates the overall evaluation degree of each posting data for each unit group from a plurality of evaluation data for one posting data in the unit group. This device refers to the calculated overall evaluation degree and determines a data display method for post data for each unit group.

  This apparatus receives a browsing request for posting list data indicating a list of posting data from a client terminal. This apparatus transmits post list data to the requesting client terminal. When the browsing request is received from the user's client terminal, the apparatus transmits display designation data indicating the display method determined for the unit group to which the user belongs to the requesting client terminal.

  It should be noted that any combination of the above-described constituent elements and a conversion of the expression of the present invention between a method, an apparatus, a system, a recording medium, a computer program, etc. are also effective as an aspect of the present invention.

  According to the present invention, there is an effect in realizing a post processing apparatus in which a user can easily obtain useful information from a large amount of post data.

FIG. 1 is a hardware configuration diagram of the posting system 10.
The electronic bulletin board server 100 is connected to a plurality of terminals (hereinafter simply referred to as “client terminal 200”) such as the client terminal 200a and the client terminal 200b via the Internet 12. The electronic bulletin board server 100 is a device that receives posted data from each client terminal 200 and electronically posts it.

  For example, it is assumed that post data with a client terminal 200b is transmitted to the electronic bulletin board server 100. The electronic bulletin board server 100 provides a part of post data such as a subject of post data as a Web page. When the electronic bulletin board server 100 receives a browsing request for the posting data from the client terminal 200a, the electronic bulletin board server 100 transmits the posting data to the client terminal 200a. Post data from the client terminal 200b can be confirmed on the client terminal 200a. In this way, post data information is shared among a plurality of client terminals 200.

FIG. 2 is a schematic diagram for explaining an outline of processing of the posting system 10.
The electronic bulletin board server 100 holds a large number of post data that can be updated at any time. These post data are classified into categories so that information necessary for the browsing user can be searched. Eight users A to H are users registered in the electronic bulletin board server 100 in order to use the posting system 10. The user can browse the posted data held in the electronic bulletin board server 100, and can input either positive or negative evaluation to the viewed posted data.

  The electronic bulletin board server 100 refers to the input evaluation, and selects post data in which the evaluation of eight users is divided into 4: 4. The posting data selected by the electronic bulletin board server 100 is posting data α. The four users A, D, E, and H have input evaluations that affirm the content of the posted data α. On the other hand, the four users B, C, F, and G have input an evaluation that denies the content of the post data α. Using this result, the electronic bulletin board server 100 classifies eight users into two groups of four.

  Furthermore, the electronic bulletin board server 100 selects post data in which the evaluations of the four users who input positive evaluations to the post data α are divided into 2: 2. Post data selected by the electronic bulletin board server 100 is post data β. Two users A and H input an evaluation that affirms the content of the posted data β, and two users D and E input an evaluation that denies the content of the posted data β. Using the result, the electronic bulletin board server 100 further classifies the four users into two groups of two.

  In this way, the electronic bulletin board server 100 classifies users into two groups, and further classifies the classified users into lower groups. The electronic bulletin board server 100 performs the same process for the user who inputs a negative evaluation to the post data α, and further classifies the four users into two groups. The electronic bulletin board server 100 forms four groups to which two users belong. This group finally formed by the electronic bulletin board server 100 is hereinafter simply referred to as “unit group”.

  When the electronic bulletin board server 100 classifies users, posted data with an evaluation of 1: 1 is used as a reference. It is considered that the content of posted data that is divided in half is likely to have conflicting values. For this reason, users belonging to the same unit group tend to have close values and ideas and ideas about events. The electronic bulletin board server 100 selects post data having a high evaluation in the unit group by using the evaluation of the post data of the users belonging to the same unit group.

  The user can specify a category of interest and display list information of post data included in the category on the client terminal 200. At that time, the electronic bulletin board server 100 highlights the information of the posted data having a high evaluation within the unit group to which the user belongs. On the screen of the client terminal 200, information such as the subject and name of post data with high evaluation is displayed at a position that is more easily noticeable than other post data, or the font size of the information is displayed large. That is, post data that belongs to the same unit group and highly evaluated by users who have close values and the like are displayed as recommended post data.

  By such processing, the user can quickly acquire useful information suitable for his own values, ideas and ideas from a large amount of posted data. In order to enjoy these merits, the user has an incentive to actively input evaluations on the posted data. Numerous evaluations by the user stimulate the poster's motivation, and the poster updates or makes new posts in order to provide more useful information to the user. As a result, the quality of the posted data in the electronic bulletin board server 100 is improved, and a positive cycle in which the number of users using the posting system 10 is increased occurs.

FIG. 3 is a functional block diagram of the electronic bulletin board server 100.
Each block shown here can be realized in hardware by an element such as a CPU of a computer or a mechanical device, and in software by a computer program or the like. Here, functional blocks realized by the cooperation are illustrated. Therefore, those skilled in the art will understand that these functional blocks can be realized in various forms by a combination of hardware and software. Here, functions to be exhibited by each functional block will be mainly described, and specific actions will be described later.

  The electronic bulletin board server 100 includes a communication processing unit 300, a data processing unit 400, and a data holding unit 500. The communication processing unit 300 is in charge of processing related to the entire user interface, such as input processing from the user and information display to the user. The data processing unit 400 executes various data processing based on data acquired from the communication processing unit 300 or the data holding unit 500. The data processing unit 400 also serves as an interface between the communication processing unit 300 and the data holding unit 500. The data holding unit 500 stores various setting data prepared in advance and data received from the communication processing unit 300 or the data processing unit 400.

  The communication processing unit 300 includes an evaluation data receiving unit 310, a request receiving unit 320, a data transmitting unit 330, and a display designating unit 340. The evaluation data receiving unit 310 receives evaluation data from the client terminal 200. The evaluation data is data for indicating the user's evaluation on the content of the posted data. The user indicates the evaluation for the post data by selecting one of the plurality of options. The request receiving unit 320 receives various requests from the client terminal 200 according to the situation.

  The data transmission unit 330 transmits various data to the client terminal 200 according to the situation. For example, the posting list data is transmitted to the client terminal 200. The post list data is data for indicating a list of post data included in a certain category. The post list data includes data such as the name of the post data, the subject for the post data given by the user, and a hyperlink for displaying the entire post data.

  The display designation unit 340 transmits display designation data to the client terminal 200. The display designation data is data for indicating a display method of the name and subject of the posted data when the posted list data is displayed on the client terminal 200. For example, display designation data includes data for displaying the name of certain post data in a large size and emphasizing it.

  The data processing unit 400 includes a ratio calculation unit 410, a post data selection unit 420, a user classification unit 430, a processing control unit 440, an evaluation calculation unit 450, a display method determination unit 460, an average score calculation unit 470, a score acquisition unit 480, and a group. A selection unit 490 is included. The ratio calculation unit 410 evaluates certain posted data as a ratio between the number of users who have selected the first option and the number of users who have selected the second option from a plurality of options (hereinafter simply referred to as “user ratio”). ) Is calculated.

  The post data selection unit 420 selects post data in which the user ratio calculated by the ratio calculation unit 410 satisfies a predetermined condition. The selected posting data is used as a judgment criterion when the user registered in the electronic bulletin board server 100 is first classified into a group, or when a user already classified into a group is further classified into a lower group. Hereinafter, the posting data selected by the posting data selection unit 420 is referred to as reference posting data.

  The user classifying unit 430 classifies users into two groups based on whether the first option or the second option is selected for the standard posting data. That is, the user classification unit 430 classifies the users to be classified into a group of users who have selected the first option and a group of users who have selected the second option.

  The process control unit 440 controls the number of user classification processes for the groups classified based on the criterion posting data as a criterion. When the process control unit 440 executes the classification process only once, the user is classified into two groups based on one reference posting data. The evaluation calculation unit 450 refers to the evaluation data of all users belonging to a certain unit group, and calculates the overall evaluation degree of each posting data. The comprehensive evaluation degree is an index for indicating how much the users of the same unit group evaluate the target posting data.

  The display method determination unit 460 refers to the overall evaluation degree calculated by the evaluation calculation unit 450 and determines a data display method related to post data. The data related to the post data is data related to the post data such as the name of the post data, the subject for the post data given by the user, a hyperlink for displaying the entire post data, the recommendation degree of the post data, and the like. Data related to post data is data for specifying individual post data when a list of post data is displayed on the client terminal 200.

  Average score calculation unit 470 calculates the average score of evaluation scores for the posted data. The evaluation score is associated with each of a plurality of options for indicating the evaluation, and is a score for indicating the degree of evaluation of the user with respect to the post data. If the choices are “Like”, “Okay”, and “Imaichi”, the administrator of the bulletin board server 100 is “Like”: 3 points, “Ok”: 0 points, “Imaichi” : You may set the evaluation score made into -3 points.

  The score acquisition unit 480 acquires an evaluation score for the posting data that is the calculation target of the average score calculation unit 470. The group selection unit 490 selects a unit group for classifying a specific user. The group selection unit 490 selects a unit group for classifying a specific user with reference to the average score for each unit group and the evaluation score of the specific user calculated for a certain post data. The processing of the score acquisition unit 480 and the group selection unit 490 will be described in detail with reference to FIGS.

  The data holding unit 500 includes an evaluation data holding unit 510 and a score holding unit 520. Evaluation data holding unit 510 holds evaluation data, post data to be evaluated, and a user who has input the evaluation data in association with each other. The data structure of the evaluation data holding unit 510 will be described in detail with reference to FIG. The score holding unit 520 holds the evaluation score in association with each of a plurality of options for indicating evaluation.

  The electronic bulletin board server 100 executes user classification processing for classifying users into a plurality of unit groups. The user classification process is mainly executed by the evaluation data receiving unit 310, the evaluation data holding unit 510, the ratio calculation unit 410, the posted data selection unit 420, the user classification unit 430, and the processing control unit 440.

  The electronic bulletin board server 100 executes display determination processing for determining a data display method for the posted data for each unit group. The display determination process is mainly executed by the evaluation calculation unit 450, the display method determination unit 460, the request reception unit 320, the data transmission unit 330, and the display designation unit 340.

  Hereinafter, the present invention will be described based on actual usage examples of the posting system 10. The electronic bulletin board server 100 holds a large number of post data that can be updated at any time. These post data are classified into categories so that information necessary for the browsing user can be searched.

  FIG. 4 is a screen diagram 20 of a screen on which data indicating a list of categories is displayed on the client terminal 200. FIG. 20 shows a situation where the user who is an elementary school student uses the electronic bulletin board server 100 to clear up homework for arithmetic.

  In the area 22 of FIG. 8, the category in the electronic bulletin board server 100 is included in the displayed category list. It can be seen that the category list shown in the figure is included in the category “elementary school”. It can also be seen that the category “elementary school” is further included in the category “study”. In the area 24 of the figure, information on each category is shown. On the left side of the area 24, the titles (names) of the respective categories are shown. In the figure, four categories of “arithmetic”, “national language”, “science”, and “society” are shown from the top.

  On the right side of the area 24, information on each category is shown as “category information”. In the same figure, information of “total number of posted data” is shown for the category “arithmetic”. Since the post data input for the categories of “National language”, “Science”, and “Society” does not exist yet, the information of “total number of post data” of these categories is not displayed.

  A hyperlink for displaying a list of post data included in the category is given to the title of the category displayed in FIG. The user can select a hyperlink given to the title using an input device such as a mouse and view a list of post data included in the category of interest.

  FIG. 5 is a screen view 30 of a screen displayed on the client terminal when the user selects the “arithmetic” category in FIG. 4. In the area 32, as in the area 22 of FIG. 4, which category in the electronic bulletin board server 100 is included in the displayed post data list is shown.

  Category: “Mathematics” includes four submissions: “How to solve Tsukagame”, “Traditional formula”, “History of Japanese arithmetic” and “It becomes fun to get on the train if you know the traveler's arithmetic” ing. On the left side of the area 34 in the figure, the title (name) of each post data is displayed. On the right side of the area 34 in the figure, the “recommendation level” of each post data is displayed.

  “Recommendation” is indicated by the number of “★” marks, and the more the number of “★” marks, the more recommended the post data. In the figure, the posting data: “How to solve the summation” and the posting data: “trapezoidal formula” are five “★” marks, and the most recommended posting data in the category: “arithmetic”. On the other hand, there is no “★” mark on the posted data: “It becomes fun to get on the train when you know the number of passengers”, and there may be a problem with the content.

  FIG. 6 is a screen view 40 of a screen displayed on the client terminal 200 when the user selects the post data in FIG. 5: “How to solve the summation”. In the area 42, as in the area 32 of FIG. 5, which category in the electronic bulletin board server 100 includes the displayed post data is shown.

  In the region 44 of FIG. 4, the text of the post data: “How to solve the summation” is shown. In the area 46 of FIG. 6, the total number of evaluations input by the user for the post data: “How to solve the summation” is shown. The total number of “(^ o ^): Useful!” Is “28”, and the total number of “(-;): Not good” is “5”. Posting data: It can be seen that there are more users who made a positive evaluation with respect to the content of “How to solve the summation” than users who made a negative evaluation.

  An area 46 in the figure shows the result of evaluation already input by the user. When inputting the evaluation for the post data, the user clicks the evaluation input button 48. As a result, a screen for inputting the evaluation is displayed on the display screen of the client terminal 200. On the screen, the user can select either the positive option shown in the area 46 in FIG. 6: “(^ o ^): Useful!” Or negative option: “(--;): Not good enough”. Either can be selected.

  Hereinafter, processing of the electronic bulletin board server 100 will be described in detail. The electronic bulletin board server 100 is connected to a plurality of client terminals 200 via a communication network. The bulletin board server 100 categorizes post data that can be updated from time to time received from the client terminal 200 into a plurality of categories and publishes it electronically to other client terminals 200.

  When the user starts using the electronic bulletin board server 100, the user registers necessary information in the electronic bulletin board server 100. The electronic bulletin board server 100 classifies the registered users into groups, and further classifies the classified users into lower groups. The electronic bulletin board server 100 repeats such a classification process to classify users into a plurality of unit groups.

FIG. 7 is a sequence diagram showing a process when collecting evaluation data from a user.
The request receiving unit 320 of the electronic bulletin board server 100 receives a posting data browsing request from the client terminal 200 used by the user (S10). The data transmission unit 330 acquires the requested post data from the data holding unit 500 and transmits it to the requesting client terminal 200 (S12). The client terminal 200 receives the posted data and displays the posted data on the screen. The user views the posted data and inputs evaluation data to the client terminal 200 (S14). The client terminal 200 transmits the input evaluation data to the electronic bulletin board server 100 (S16).

  The evaluation data receiving unit 310 receives the transmitted evaluation data. The evaluation data holding unit 510 holds the received evaluation data, the post data that is the object of the evaluation, and the user who has input the evaluation data in association with each other. By repeating such processing, the electronic bulletin board server 100 collects user evaluations on the posted data.

  FIG. 8 is a data structure diagram of the evaluation data holding unit 510. In line 50, the name of the posted data is shown. Line 52 shows the name of the user. The row 54 indicates whether or not the user shown in the same column has selected “(^ o ^): Useful!” As the evaluation data. If the user has selected, a “●” mark is shown. Similarly, the line 56 indicates whether or not the user shown in the same column has selected “(-;): not good enough” as the evaluation data.

  When the user inputs an evaluation for the posted data, the user selects one of a plurality of options. For this reason, the “●” mark is shown only in either the row 54 or the row 56 in the same column. In the figure, only data for post data α is displayed. Evaluation data holding unit 510 similarly holds data for post data other than post data α.

  FIG. 9 is a flowchart showing a process of the electronic bulletin board server 100 when a user is classified into a unit group. As shown in FIG. 2, eight users A to H are registered as users of the electronic bulletin board server 100, and post data α, post data β, and post data γ are posted data in the electronic bulletin board server 100. Suppose post data is registered.

The ratio calculation unit 410 refers to the evaluation data holding unit 510 and selects the option: “(^ o ^): Useful!” (Hereinafter simply referred to as “positive option”) for the post data α. The number and the option: “(-;): not good enough” (hereinafter simply referred to as “negative option”) are acquired. The ratio calculation unit 410 calculates the user ratio using the two acquired user numbers (S18). The user ratio is calculated by the following formula.

User ratio = (number of users who chose a positive option) / (number of users who chose a negative option)

That is, when the value of the user ratio is greater than 1, it can be said that there are more users who have made a positive evaluation on the posted data than users who have made a negative evaluation. On the other hand, when the value of the user ratio is smaller than 1, it can be said that there are more users who made a negative evaluation than the users who made a positive evaluation in the posted data.

In FIG. 8, the number of users who have selected the positive option is “4”, and the number of users who have selected the negative option is “4”. The user ratio of post data α is

User ratio of post data α = 4/4 = 1

It becomes. The ratio calculation unit 410 similarly calculates the user ratio of the posting data β and the posting data γ. The calculated user ratio of the posting data β is “0.6”, and the user ratio of the posting data γ is “3”. As described above, the ratio calculation unit 410 calculates the user ratio of the post data held in the data holding unit 500.

  The post data selection unit 420 selects post data whose user ratio value calculated by the ratio calculation unit 410 is closest to “1” (S20). Post data selection unit 420 selects post data α from post data α, post data β, and post data γ. The user classifying unit 430 refers to the evaluation data holding unit 510 and classifies the users A to H into two groups based on the posting data α (S22). The users A to H have a group of users who have selected a positive option for the posted data α (hereinafter simply “positive group”) and a group of users who have selected the negative option (hereinafter simply “negative group”). And classified. As shown in FIG. 2, the positive group includes users A, D, E, and H, and the negative group includes users B, C, F, and G.

  The process control unit 440 acquires the number of users for each group classified by the user classification unit 430. The process control unit 440 is set to continue the classification process until the number of users classified into each group becomes two or less. The number of users included in each of the positive group and the negative group is four, and it is not less than two. The process control unit 440 determines that further classification processing is necessary (Y in S24), and instructs the ratio calculation unit 410 to calculate the user ratio again.

  The ratio calculation unit 410 refers to the evaluation data holding unit 510 and acquires evaluation data for the post data β of users classified into affirmative groups (hereinafter simply referred to as “affirmative users”). The ratio calculation unit 410 uses the obtained evaluation data to calculate the user ratio from the number of users who have selected a positive option and the number of users who have selected a negative option for the posting data β among the positive users. Calculate (S18). The ratio calculation unit 410 performs the same process on the post data γ.

  The posted data selection unit 420 selects the posted data β from the posted data β and posted data γ as posted data having a user ratio value closest to “1” (S20). The user classifying unit 430 refers to the evaluation data holding unit 510 and classifies the users A, D, E, and H into two groups based on the posted data β (S22). The users A, D, E, and H are a group of users who have selected a positive option for the post data β (hereinafter simply “positive / positive group”) and a group of users who have selected a negative option (hereinafter, Simply “affirmative / negative group”). As shown in FIG. 2, users A and H are included in the affirmative / affirmative group, and users D and E are included in the affirmative / negative group.

  The same processing is executed for the users classified into the negative group. As a result, the users B, C, F, and G are a group of users who have selected the positive option for the post data γ (hereinafter, simply “negative / positive group”) and a group of users who have selected the negative option. (Hereinafter simply “Negation / Negation Group”). As shown in FIG. 2, the negative / positive group includes users B and F, and the negative / negative group includes users C and G.

  The process control unit 440 acquires the number of users for each group further classified by the user classifying unit 430. Get the number of users classified into a group. Two users are included in each group, and the condition of two or less users is satisfied. The process control unit 440 determines that no further classification process is necessary (N in S24), and the user classification process is terminated. As described above, when the process control unit 440 determines the end of the classification process, a group in which the user is finally classified becomes a unit group.

  It can be said that as the value of the user ratio increases from 1, most users evaluate the content of the posted data positively or negatively. For example, if the content of certain post data is extremely terrible, most users choose a negative option, so the user ratio is much smaller than 1. On the other hand, it is considered that there is no problem in the content of the posted data as the value of the user ratio is closer to 1. In addition, the content of the posted data in which the number of users who have selected a positive option and the number of users who have selected a negative option is divided in half is considered to be content that tends to conflict with values. That is, it can be said that the posted data is easily divided depending on the user's values and ideas. Therefore, users with similar values and ideas are gathered in the unit group.

  In the above classification process, the user is classified into two based on the posting data selected by the posting data selection unit 420. However, when three or more options are set, it may be classified into three or more groups. Post data selection unit 420 may select post data using a criterion other than the criterion that the user ratio is closest to “1”. This is because the judgment of evaluation may not be divided into 1: 1 depending on the user's values and ideas. Furthermore, the process control unit 440 may not determine whether to continue the classification process based on the number of unit groups. For example, the determination may be made based on the number of classification processes.

FIG. 10 is a sequence diagram illustrating a processing process when a user transmits a request for posting list data.
The electronic bulletin board server 100 classifies users into unit groups by the process of FIG. The evaluation calculation unit 450 refers to the evaluation data holding unit 510 and calculates the overall evaluation degree for the posted data α of the users belonging to the affirmation / affirmation group. The comprehensive evaluation degree is a value calculated using evaluation data of users belonging to the unit group, and is an index indicating how much the posting data as a target is evaluated by the users in the unit group.

The users belonging to the affirmation / affirmation group are a user A and a user H as shown in FIG. From FIG. 8, it can be seen that both the user A and the user H have selected the option “(^ o ^): Useful!” For the post data α. In the score holding unit 520, a score corresponding to an option for indicating evaluation is set in advance. The option: “(^ o ^): Helpful!” Is set with a score of “1”, and the option: “(--;): Not good” is set with a score of “0”. The overall evaluation degree for the posting data α of the affirmation / affirmation group is calculated as follows.

Overall rating = (user A score + user H score) / (number of users belonging to affirmation / affirmation group)
= (1 + 1) / 2 = 1

In the calculation, the denominator is the number of users in order to calculate the number of points per user.

  Similarly, the evaluation calculation unit 450 refers to the evaluation data of the users A and H, and calculates the overall evaluation degree for the posting data β and the posting data γ. The overall evaluation degree of the calculated posting data β is “1”, and the overall evaluation degree of the posting data γ is “0.5”. The evaluation calculation unit 450 calculates the overall evaluation degree for the affirmation / negative group after calculating the overall evaluation degree for the posting data of the affirmation / affirmation group. Thus, the evaluation calculation unit 450 calculates the overall evaluation degree for each piece of post data of each unit group for all unit groups (S26).

The display method determination unit 460 refers to the calculated overall evaluation degree, and determines a data display method for the post data α for the users in the affirmation / affirmation group. In the electronic bulletin board server 100, a display method corresponding to the overall evaluation degree is set in advance. The settings are as follows.
Overall rating: 1 ... "★★★★★" (5 star marks)
Overall rating: Less than 0.8-1 ... "★★★★" (4 star marks)
Overall rating: Less than 0.6-0.8 “★★★” (three star marks)
Overall rating: Less than 0.4-0.6 “★★” (two star marks)
Overall rating: Less than 0.2-0.4 ... "★" (one star mark)
Overall rating: 0 to less than 0.2 ... (no star mark)

  The display method determination unit 460 determines the recommendation level of the posting data α as “★★★★★” based on the overall evaluation level “1” of the posting data α. Similarly, the display method determination unit 460 determines the recommendation level of the posting data β as “★★★★★” and the recommendation level of the posting data γ as “★★”. After determining the recommendation level of the posting data of the affirmation / affirmation group, the display method determination unit 460 similarly determines the recommendation level for the affirmation / negative group. As described above, the display method determination unit 460 determines the recommendation degree for each piece of post data of each unit group for all unit groups (S28).

  User A transmits a browse request for posting list data of a certain category from the client terminal 200 (S30). The category includes post data α, β, and γ. The request receiving unit 320 receives the browsing request. The data processing unit 400 refers to the data holding unit 500 to determine which unit group the user A belongs to (S32). User A belongs to the affirmation / affirmation group. The data processing unit 400 acquires the recommendation level of the post data determined for the affirmation / affirmation group, and transmits the recommendation level to the display designation unit 340. In addition, the data processing unit 400 transmits the requested posting list data to the data transmission unit 330.

  The data transmission unit 330 transmits the posting list data to the client terminal 200 of the user A (S34). The display designation unit 340 transmits display designation data including the recommendation level to the client terminal 200 (S36). The transmitted data is displayed on the client terminal 200 of the user A. The situation is shown in FIG. Post data α corresponds to post data: “How to solve the Tsukagame”, post data β corresponds to post data: “trapezoidal formula”, and post data γ corresponds to post data: “history of arithmetic in Japan”. Based on the evaluation of users belonging to the affirmation / affirmation group, the “recommendation level” of each posting data is determined.

  The electronic bulletin board server 100 classifies users having similar values and ideas through user classification processing, and determines the recommendation level of the posted data based on the evaluation of the classified users. According to such processing, the user can quickly acquire useful information suitable for his own values, ideas and ideas from a large amount of posted data. In order to enjoy this merit, the user has an incentive to actively input evaluations on the posted data. Numerous evaluations from users stimulate the posters' motivation, and the posters update to provide more useful information to the users or make new posts. Such a positive cycle improves the quality of the posted data and increases the number of users who use the electronic bulletin board server 100.

  In addition, although the display method determination part 460 determines the recommendation degree based only on the comprehensive evaluation degree, it may be determined using still another data. Since the comprehensive evaluation degree is an average score for calculating the score per user, it is likely to be an extreme value when the evaluation from the user is small. In order to prevent such an adverse effect, the display method determination unit 460 can determine the recommendation degree in consideration of, for example, the number of evaluation inputs by the user in addition to the overall evaluation degree.

  The display method determination unit 460 can set a recommendation level that is more comfortable and accurate for the user by using two pieces of data. Therefore, the user can easily acquire useful information suitable for his / her values from a large amount of posted data. The administrator of the electronic bulletin board server 100 can appropriately change the criteria for the display method determination unit 460 to determine the recommendation level.

  In addition, the recommendation level is displayed by the number of “★” marks, but the recommendation level may be displayed by another method. For example, the electronic bulletin board server 100 may display the degree of recommendation by changing the size of a mark that can be visually recognized on the screen of the client terminal 200. The higher the recommendation level, the larger the size of the mark, and the user can feel the degree of recommendation more intuitively.

  Further, the recommendation degree may be expressed by an idea of the appearance of the mark, instead of displaying it by the number or size of the mark. For example, post data with a low recommendation level is displayed as buds in a foliage state, and post data with a high recommendation level is displayed with buds such as young trees and large trees growing. As another example, post data with a low recommendation level is displayed with a weather mark indicating a bad weather such as a rain cloud or a thundercloud, and post data with a high recommendation level is displayed with better weather and closer to clear weather. As in the case of changing the size of the mark, the user can feel the degree of recommendation more intuitively.

  The electronic bulletin board server 100 periodically executes the classification process, and the user is classified into a new unit group each time. Since the electronic bulletin board server 100 receives evaluation data from the user at any time, the user ratio of each posting data changes accordingly. Since the selected reference posting data also changes due to the change in the user ratio, the user is classified into a new unit group for each periodic classification process.

  In the electronic bulletin board server 100, the user can confirm to which unit group he belongs. For this reason, some malicious users may cooperate with a plurality of users belonging to the same unit group a and input a positive evaluation to certain post data θ. The contribution data θ has a high overall evaluation degree in the unit group a by the input of positive evaluation. Therefore, the posting data θ is highly recommended posting data for the user of the unit group a. In this way, a malicious user can cause more users to view post data that is convenient for him. For example, it poses as posting data, advertises a dating site, etc., and allows many users to view it.

  However, the user of the unit group a who sees such posted data θ naturally inputs a negative evaluation with respect to the posted data θ. Moreover, even if a user of another unit group browses the posted data θ by accident, it is considered that a negative evaluation is input similarly. Initially, in the posted data θ that has been overwhelmingly positively evaluated by a malicious user, the positive evaluation and the negative evaluation approach the same rate due to such user reaction. As a result, the posting data θ is selected as reference posting data by the posting data selection unit 420 during the regular classification process.

  The malicious users are classified based on the posting data θ, and only the malicious users are included in the classified group. In this case, since the “recommendation level” is determined for each unit group, a malicious user cannot display the post data θ as post data with a high “recommendation level” for general users. In other words, it is difficult to intentionally operate the display of “recommendation” by periodically executing the user classification process. Therefore, the electronic bulletin board server 100 can maintain the reliability of the “recommendation degree”, and the user can quickly acquire useful information suitable for his own values, ideas, and ideas from a large amount of posted data. .

  The above processing is based on the premise that the user always selects a positive option or a negative option with respect to the reference posting data. However, there may be a user who has not selected any option for the standard posting data (hereinafter simply referred to as “non-selected user”). In such a case, the electronic bulletin board server 100 classifies non-selected users into any unit group.

  The electronic bulletin board server 100 is post data other than the standard post data, and the post data for which the non-selected user has selected one of the options, the evaluation of the non-selected user with respect to the post data, and each unit group Compare the overall rating. The electronic bulletin board server 100 classifies the non-selected users into unit groups that indicate the overall evaluation degree closest to the evaluation value of the non-selected users.

The electronic bulletin board server 100 uses “distribution” used in statistics in order to select a unit group indicating the overall evaluation degree closest to the evaluation value of the non-selected user. The distribution is used to indicate the degree of dispersion of a plurality of data. The variance value V is calculated by the following formula.

  That is, it can be said that the larger the variance value V, the greater the degree of dispersion of the plurality of data, and the smaller the variance value V, the smaller the degree of dispersion of the plurality of data. The electronic bulletin board server 100 regards the evaluation value for the post data of the non-selected user as an average value in the variance, and regards the overall evaluation degree for the post data in the unit group as the data for which the variance value is to be calculated. The electronic bulletin board server 100 uses these data to calculate a variance value V for each unit group. The unit group with the smallest value of the calculated variance value V is the group with the smallest degree of dispersion based on the evaluation value of the non-selected user. Non-selected users are classified into that group. Specific processing will be described using numerical values.

  FIG. 11 is a sequence diagram showing a process of the electronic bulletin board server 100 when classifying non-selected users into unit groups. Users who have selected any option for the standard posting data are already classified into unit groups.

  The data processing unit 400 refers to the user classification processing result and acquires a non-selected user (S38). Here, it is assumed that the data processing unit 400 acquires the user I and the user J. The data processing unit 400 refers to the evaluation data holding unit 510 and acquires post data in which the user I has input the evaluation data. The data processing unit 400 acquires post data δ and post data ε as the post data (S40).

  As described above, the score holding unit 520 records in advance the score corresponding to the option for indicating the evaluation. The score acquisition unit 480 refers to the evaluation data holding unit 510 and the score holding unit 520, and acquires the score for the post data δ of the user I (S42). Since the user I has input a positive evaluation, the score for the posted data δ is “1”.

  The average score calculation unit 470 calculates the overall evaluation degree of each unit group for the posted data δ (S44). There are four unit groups already classified: unit group a, unit group b, unit group c, and unit group d. The overall rating for the posted data δ of the unit group a is “0.84”, the overall rating of the unit group b is “0.36”, the overall rating of the unit group c is “0.61”, and the unit group d The overall rating is “0.17”.

Similarly, the score acquisition unit 480 acquires a score “0” for the post data ε of the user I. Similarly, the average score calculation unit 470 also calculates the overall evaluation degree of each unit group for the post data ε. The overall rating of unit group a is “0.44”, the overall rating of unit group b is “0.77”, the overall rating of unit group c is “0.89”, and the overall rating of the unit group is “0.38”. The above results are summarized as follows.

The group selection unit 490 refers to the data shown in Table 1 and calculates the variance value V _y (y = a, b, c, d) of each unit group. The variance value V _y is calculated by the following equation.

V y ₌ {(overall evaluation degree for contribution data δ of the unit group y - score for contribution data δ of the user I) ²
+ (Overall evaluation degree for contribution data ε unit group y - score for contribution data ε users I) ^2} / ²

The calculated dispersion value V _y is shown below.

The unit group having the smallest variance value V _y is unit group a. Of the four unit groups, the average value (overall rating) of the user evaluation of the unit group a is closest to the user I evaluation. In other words, it is considered that the values of the user I and the average values of the users of the unit group a are close. The group selection unit 490 selects the unit group a as a unit group for classifying the user I (S46). The user classifying unit 430 classifies the user I into the unit group a (S48). The electronic bulletin board server 100 performs the same process for the user J, and classifies the user J into any unit group. Thus, the electronic bulletin board server 100 classifies non-selected users into any unit group.

  According to such processing, the electronic bulletin board server 100 can classify non-selected users into unit groups having similar values and ideas. Even a user who has just entered a registration and has not entered an evaluation with respect to the standard posting data will be classified into a unit group if at least one evaluation is entered. Therefore, even a user immediately after registration can quickly acquire useful information suitable for his own values, ideas, and ideas from a large amount of posted data.

  In the processing of FIG. 11, the user who has not selected any option for the reference posting data when first classifying the user has been described. Taking FIG. 2 as an example, it is a user who has not been subject to the classification process because no evaluation is input for post data α. However, although the evaluation is input to the posting data α, the evaluation is not input to the posting data β or the posting data γ. Hereinafter, such a case will be described with reference to FIG.

Since the user K has selected a positive option for the post data α, it is assumed that the user K is classified into the positive group by the first classification. However, since no option is selected for the posted data β, the user K is not a target of the classification process using the posted data β as the standard posted data. Therefore, user K is not classified into unit groups. As described with reference to FIG. 11, the electronic bulletin board server 100 calculates the variance value V with each unit group on the basis of the post data that the user K has already input the evaluation. The calculated dispersion value V is shown below.

The group selection unit 490 finally selects the unit group having the smallest variance value as the unit group into which the user K is classified. The unit group having the smallest variance value V is a negative / positive group. However, the user K is classified into the positive group by the posting data α in the first classification. Therefore, there is a possibility that values and ideas are close to users belonging to the affirmation / affirmation group and the affirmation / denial group derived from the affirmation group. In consideration of this point, the group selection unit 490 reduces the variance value V by multiplying each variance value by 0.9 so as to be advantageous when selecting the affirmation / affirmation group and the affirmation / negative group. Make adjustments. The dispersion value after adjustment is shown below.

  The group selection unit 490 selects a unit group for classifying the user K using the adjusted variance value as a final variance value. The unit group having the smallest variance value before adjustment is a negative / positive group, but the unit group having the smallest variance value after adjustment is a positive / positive group. The group selection unit 490 selects an affirmative / affirmative group. The user classifying unit 430 classifies the user K into a positive / affirmative group.

  According to such processing, the electronic bulletin board server 100 can use evaluation data of users who are not classified into unit groups but are classified into intermediate groups (hereinafter simply referred to as “intermediate classification users”) for classification processing. . The electronic bulletin board server 100 increases the data used for the classification process of the halfway classified users, thereby making it easier to classify the halfway classified users into unit groups that are closer in value and way of thinking.

  In FIG. 9, a description has been given of users who have selected any option for each reference posting data and are classified into unit groups (hereinafter simply referred to as “initial classification users”). When the initial classification user displays a list of posted data on the client terminal 200, the “recommendation level” of each posted data is displayed. However, there are cases where the display of “recommendation level” and the recommended posting data based on one's own values and ideas do not match. In such a case, the electronic bulletin board server 100 reclassifies the user in consideration of the variance value with another unit group as in the non-selected user classification process.

FIG. 12 is a sequence diagram showing a processing process when reclassifying an initial classification user.
The initial classification user transmits a reclassification request from the client terminal 200 to the electronic bulletin board server 100 (S50). The data processing unit 400 refers to the evaluation data holding unit 510 and acquires post data in which the initial classification user has input the evaluation data. The data processing unit 400 acquires post data ζ and post data η as the post data (S52).

  The score acquisition unit 480 refers to the evaluation data holding unit 510 and acquires a score for the post data ζ of the initial classification user (S54). The average score calculation unit 470 calculates the overall evaluation degree of each unit group for the posting data ζ (S56). Similarly, the score acquisition unit 480 acquires a score for the post data η of the initial classification user. Similarly, the average score calculation unit 470 calculates the overall evaluation degree of each unit group for the posted data η. The unit groups already classified are four unit groups a to d.

The group selection unit 490 refers to the data acquired by the score acquisition unit 480 and calculated by the average score calculation unit 470, and determines the variance value V _y (y = a, b, c, d) of each unit group. calculate. The calculated dispersion value V _y is shown below.

  The group selection unit 490 finally selects a unit group having the smallest variance value as a unit group for classifying the initial classification user. The unit group having the smallest variance value is unit group a. The group selection unit 490 selects the unit group a (S58). When the initial classification user requests reclassification, the user is classified into the unit group c. The user classification unit 430 classifies the initial classification user by changing from the unit group c to the unit group a (S60). When the unit group having the smallest variance value is the unit group c, the initial classification user is classified into the same unit group c as before the reclassification.

  According to such processing, since the choices selected in the standard posting data coincided by chance, even the initial classification user classified into the predetermined unit group can change the unit group. By the change, the initial classification user can belong to a unit group that has closer values and ideas. Therefore, the initial classification user can enjoy the merit of the electronic bulletin board server 100 that can quickly acquire useful information suitable for his own values, ideas and ideas from a large amount of posted data.

  In FIG. 12, the electronic bulletin board server 100 executes a reclassification process in response to a request from an initial classification user. However, the electronic bulletin board server 100 may execute a reclassification process for an initial classification user that meets a predetermined condition. For example, the electronic bulletin board server 100 may calculate the variance value of each unit group for all initial classification users. The electronic bulletin board server 100 executes the reclassification process for an initial classification user whose distributed value of the unit group to which the bulletin board belongs is larger than a predetermined value.

  FIG. 13 is a sequence diagram illustrating a processing process when the user browses the recommendation level displayed for a unit group different from the unit group to which the user belongs. This will be described with reference to FIG.

  User A of the unit group transmits a request for browsing the posting list data of a certain category (S62). The category includes post data α, β, and γ. The request receiving unit 320 receives the browsing request. The data processing unit 400 determines which unit group the user A belongs to (S64). User A belongs to the affirmation / affirmation group. The data processing unit 400 acquires the recommendation level of the post data determined for the affirmation / affirmation group, and transmits the recommendation level to the display designation unit 340. In addition, the data processing unit 400 transmits the requested posting list data to the data transmission unit 330.

  The data transmission unit 330 transmits the posting list data to the client terminal 200 of the user A (S66). The display designation unit 340 transmits display designation data including the recommendation level to the client terminal 200 (S68). The transmitted data is displayed on the client terminal 200 of the user A. User A feels uncomfortable with the “recommendation level” of the posted data α, β, γ, and transmits a request for display designation data of a unit group different from the affirmative / affirmative group to the electronic bulletin board server 100 (S70). User A transmits a request for display designation data of affirmative / negative group.

  The request receiving unit 320 receives the request. The data processing unit 400 acquires the display designation data of the positive / negative group from the data holding unit 500 and transmits the display designation data to the display designation unit 340. The display designation unit 340 transmits the display designation data to the client terminal 200 (S72). In this way, the user A can confirm the “recommendation level” of the posting data α, β, γ of all unit groups other than the affirmation / affirmation group to which the user A belongs.

  As a result of the confirmation, the user A cannot feel the discomfort felt in the “recommendation level” of the posting data α, β, γ of the affirmation / affirmation group to which he belongs, and feels that there is a problem in the display method (Y in S74). This may be the case when the “recommendation level” of another unit group is closer to its own values and way of thinking after considering the content of the posted data. User A transmits an improvement request for user classification processing to electronic bulletin board server 100 (S76). The request receiving unit 320 receives the improvement request.

  According to such processing, the administrator of the electronic bulletin board server 100 can confirm the improvement request from the user. The administrator adjusts the user classification process by changing the user ratio when the posting data selection unit 420 selects the standard posting data or by changing the number of classification processes of the processing control unit 440. As a result, the electronic bulletin board server 100 can provide a service that allows the user to be more comfortable and satisfied with the “recommendation degree” of the posted data. The user can quickly acquire useful information suitable for his own values, ideas and ideas from a large amount of posted data.

  The present invention has been described above based on the embodiment. The present invention is not limited to this embodiment, and various modifications thereof are also effective as aspects of the present invention.

It is a hardware block diagram of a posting system. It is a schematic diagram for demonstrating the process outline | summary of a posting system. It is a functional block diagram of an electronic bulletin board server. It is a screen figure of the screen where the data which show the list of categories are displayed on the client terminal. FIG. 5 is a screen diagram of a screen displayed on the client terminal when the user selects the “arithmetic” category in FIG. 4. FIG. 6 is a screen diagram of a screen displayed on the client terminal when the user selects “Posting data in FIG. 5:“ How to solve the summation ”. It is a sequence diagram which shows the processing process when collecting evaluation data from a user. It is a data structure figure of an evaluation data holding part. It is a flowchart which shows the process of an electronic bulletin board server when classifying a user into a unit group. It is a sequence diagram which shows the process when a user transmits the request | requirement of contribution list data. It is a sequence diagram which shows the process of an electronic bulletin board server when classifying a non-selection user into a unit group. It is a sequence diagram which shows the process in the case of reclassifying an initial classification user. It is a sequence diagram which shows the process when a user browses the recommendation degree displayed with respect to a unit group different from the unit group to which it belongs.

Explanation of symbols

  10 posting system, 12 internet, 100 electronic bulletin board server, 200 client terminal, 300 communication processing unit, 310 evaluation data receiving unit, 320 request receiving unit, 330 data transmitting unit, 340 display designation unit, 400 data processing unit, 410 ratio calculation , 420 posting data selection unit, 430 user classification unit, 440 processing control unit, 450 evaluation calculation unit, 460 display method determination unit, 470 average score calculation unit, 480 score acquisition unit, 490 group selection unit, 500 data holding unit, 510 evaluation data holding unit, 520 point holding unit.

Claims (6)

A device that is connected to a plurality of client terminals via a communication network and electronically publishes post data received from a client terminal to other client terminals,
A classification unit for classifying users into a plurality of unit groups by classifying the users of the client terminal into groups and classifying the classified users into lower groups; and
A deciding unit that decides how to display data related to posted data for each unit group;
With
The classification unit includes:
An evaluation data receiving unit that receives, from the client terminal, evaluation data indicating a user's evaluation with respect to the content of posted data selected from a plurality of options;
An evaluation data holding unit that holds evaluation data, post data to be evaluated, and a user who has input the evaluation data in association with each other;
A ratio calculation unit that calculates a user ratio for each posting data, with a ratio of the number of users who have selected the first option and the number of users who have selected the second option for one posting data for a given group as a user ratio When,
A post data selection unit that selects post data for which the calculated user ratio satisfies a predetermined condition as reference post data serving as a reference for classifying users of a predetermined group into lower groups;
A user classifying unit that executes a classification process for classifying users belonging to the predetermined group into at least two lower groups based on whether the first option or the second option is selected for the standard posting data. When,
A process control unit for classifying a user into a plurality of unit groups by repeating the classification process for any group classified based on the standard posting data a plurality of times;
Including
The determination unit is
An evaluation calculation unit that calculates the overall evaluation degree of each posting data for each unit group from a plurality of evaluation data for one posting data in the unit group,
A display method determining unit that determines the display method of data related to the posted data for each unit group with reference to the calculated overall evaluation degree,
A request receiving unit that receives a request for browsing the posting list data indicating a list of posted data from the client terminal;
A data sending unit that sends post list data to the requesting client terminal;
When the browsing request is received from the client terminal of the user, a display designation unit that transmits display designation data indicating the display method determined for the unit group to which the user belongs to the requesting client terminal;
A post processing apparatus comprising:   The posting data selection unit compares a predetermined ratio with a plurality of user ratios calculated for each posting data, and selects posting data for which a user ratio close to the predetermined value is calculated as reference posting data. The posting processing apparatus according to claim 1, wherein the posting processing apparatus is characterized.   The display method determining unit selects post data having a calculated overall evaluation level higher than a predetermined value, and determines for each unit group to highlight data related to the post data. Or the post processing apparatus according to 2. The classification unit includes:
A score holding unit which is associated with each of the plurality of options and holds an evaluation score indicating the degree of evaluation of the user;
An average score calculation unit for calculating an average score of evaluation points for predetermined posting data for each unit group;
A score acquisition unit for acquiring an evaluation score for the predetermined posting data of a non-selected user who has not selected either the first option or the second option for the reference posting data;
A group for determining a proximity between the average score for each unit group calculated for the predetermined posted data and the evaluation score of the non-selected user by a predetermined evaluation function, and selecting a unit group corresponding to the non-selected user A selection department;
Further comprising
The post processing apparatus according to any one of claims 1 to 3, wherein the user classifying unit classifies non-selected users into a selected group. The classification unit includes:
A score holding unit which is associated with each of the plurality of options and holds an evaluation score indicating the degree of evaluation of the user;
An average score calculation unit for calculating an average score of evaluation points for predetermined posting data for each unit group;
A score acquisition unit that is a user classified into any unit group and acquires an evaluation score for the predetermined posting data of a classification target user to be reclassified;
A group for determining a proximity between the average score for each unit group calculated for the predetermined posted data and the evaluation score of the classification target user by a predetermined evaluation function, and selecting a unit group corresponding to the classification target user A selection department;
Further comprising
The posting processing apparatus according to claim 1, wherein the user classifying unit classifies a unit group to which the classification target user belongs into a selected group. The request receiving unit receives a request for display designation data determined for a unit group different from the unit group to which the user belongs, from the client terminal of the user,
6. The post processing apparatus according to claim 1, wherein the display designation unit transmits display designation data determined for the another unit group to a requesting client terminal. 7. .

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