JP4851299B2 - Bookmark management device, bookmark management program, and bookmark management method - Google Patents

Description

  The present invention relates to a bookmark system that can share a bookmark on the Web, and more particularly, a bookmark management device, a bookmark management program, and a bookmark having a function of automatically creating a group of users who share a bookmark according to a given creation condition. It relates to the management method.

  A bookmark is a function for recording the address (URL: Uniform Resource Locator) of a Web site that is referred to many times, and allows easy access to a desired Web site from a list. is there.

  Social bookmarking service is a service that improves the efficiency of collecting useful information on the Internet by sharing articles collected by others. Currently, there are many social bookmark services on the Internet.

  There is “del.icio.us (http://del.icio.us/)” as a world-famous social bookmark service. As a social bookmark service well known in Japan, There is a “Hatena Bookmark (http://b.hatena.ne.jp/)” operated by Hatena. In addition, there is “webshots (http://s.phpspot.org/)” as a social bookmark service that makes it easy to grasp the outline of the site by saving the image of the site simultaneously with the bookmark of the page.

  Furthermore, there is an open source system such as “Rubric” that can easily realize a social bookmark service, and “del.icio.us” introduced earlier is also constructed using this system.

  In this way, it is a social bookmark service that is becoming a popular service, but the current social bookmark service is based on the premise that the bookmarked information is open to the public. In other words, There is a problem that it is not suitable for bookmarking information to be disclosed only to specific people.

  In addition, the view (View) of the general social bookmark service is the view of the bookmark list that is common to all users who have made public settings, or the view of the bookmark list of one user, and the bookmark is shared among teams and groups. I can't.

  In addition, in the conventional bookmark function provided in a general browser, the bookmark information that the user has is limited to personal use, and other people refer to the bookmark information without re-entering the URL or the like. There was a problem that it could not be used.

  In order to solve this problem, in the bookmark management system and bookmark management method described in Patent Document 1, it is possible to provide a bookmark management server that holds a bookmark information list and to disclose the bookmark information to a third party. By making it possible to set such information, bookmark information can be shared.

However, in the method according to Patent Document 1 and other conventional techniques, for example, bookmark information is disclosed to a group created by a user under arbitrary conditions, and bookmark information is disclosed from an unspecified number of people. It was not considered to select a good person and create a group automatically.
JP 2003-67328 A

  Conventionally, when trying to publish bookmark information to a group composed of specific members, first, in order to create a group, user identification information (hereinafter referred to as the ID or personal name) of each user who becomes a member of the group. There is a problem that it is troublesome to create a group.

  In addition, since a group ID needs to specify a user ID to belong to the group, only a specific user who knows it can be added to the group. For example, in the social bookmark system, the same hobbies and preferences can be set. In order to make it possible to communicate with people who do not know, there has never been considered a technical means for grouping people with the same hobbies and preferences so that bookmarks set in each group can be used. It was.

  The present invention solves the above-described problems, and the system automatically creates a group that grants access authority to bookmark information in the bookmark system only by the user specifying the creation conditions. The purpose is to be able to import into a group.

  In order to solve the above-described problems, the present invention provides a unit of user group that grants access permission to a bookmark from a user terminal in a bookmark management apparatus (server) that manages a bookmark that records an address of information registered by the user from the user terminal. The group creation instruction information is input, and a user who is a member of the group is determined according to the given creation condition, and a group is created. In bookmark registration, it is possible to set a group to which access permission is granted. When a bookmark display request is received from the user terminal, whether or not the user of the user terminal belongs to a group to which access permission is granted. Make a decision, and send bookmark information based on the decision.

  As a result, an accessible group can be set for each article of the bookmark, and a group for setting the access right for this bookmark can be easily created by the members automatically determined by the bookmark management device. Become.

  Furthermore, the present invention is based on the bookmark of each registered user when determining the group members, and the same or a part of the bookmark address registered by each user or the contents of the bookmarked article. The scores are calculated based on the similarities that are common to each other, it is determined whether the user's interests or preferences are similar based on the calculated scores, and the user groups having similar interests or preferences are set as members of the same group.

  As a result, users with the same interests and preferences can be collected, and even users who do not know the user name and user ID can be included in the members of the group.

  Further, in the present invention, a keyword is extracted by morphological analysis of the title or body of the bookmarked article of each bookmark that has already been registered, and based on the degree of matching of the keywords extracted from the bookmarks registered by each user, Determine the members of the group. Thereby, the determination accuracy of whether the user's interests and preferences match can be improved.

  Furthermore, from the keyword extracted by the morphological analysis, the word included in the specific part of the bookmark address or the keyword obtained from the article pointed to by the specific address having a part of the bookmark in common with respect to the specific address Whether or not the user's interests and preferences match by removing the keywords whose difference between the content rate and the content rate of the same keyword with respect to other bookmark addresses is equal to or greater than a predetermined value, and then determining the degree of matching of the keywords. The determination accuracy can be further improved.

  According to the present invention, since the system automatically creates a group that grants access authority to bookmark information in the bookmark system only by the user specifying a creation condition, when creating a group that shares bookmark information, group creation is performed. The user does not need to input the user IDs of the members belonging to the group one by one, and can be easily created. In addition, users with unknown user IDs can be included in the group. For example, in the social bookmark system, it is possible to group users with similar interests and preferences, which is an interesting system for users. Can be built.

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

  FIG. 1 is a diagram showing a system configuration example according to an embodiment of the present invention. A bookmark management server 10 for managing registered bookmarks and user terminals 20, 20 ′,..., 20 ″ for registering and using bookmarks are connected via a network 30. The network 30 is like the Internet. It may be a wide area network or a local network such as an in-house LAN.

  The bookmark management server 10 includes a CPU and a memory, and includes a group creation processing unit 11, a bookmark registration unit 12, an access control unit 13, and a bookmark information transmission unit 14 realized by these and a software program. Further, a user information database (DB) 15 for storing user information using each user terminal 20,..., A group information database (DB) 16 for storing created group information, and a bookmark accumulation for storing registered bookmark information. A database (DB) 17 is provided.

  The user terminal 20 (the same applies to the other user terminals 20 ′, 20 ″, etc.) is a personal computer or the like, a page display unit 21 that displays a Web page by a Web browser, a unit that grants access permission for registered bookmark information, and the like. A group creation instructing unit 22 that instructs the bookmark management server 10 to create a group, a bookmark registration request unit 23 that requests the bookmark management server 10 to register a bookmark, and bookmark information registered from its own terminal and other user terminals. A bookmark display processing unit 24 is provided for requesting and displaying the management server 10. Here, the group creation instructing unit 22, the bookmark registration requesting unit 23, and the bookmark display processing unit 24 are displayed as pages in the browser and operate. Also realized by the program But to good, it may be one which is realized by a program operating independently.

  A bookmark records information on a Web site where information necessary for the user or matters of interest are written. When sharing bookmarks that you have registered with other people, it is preferable to make them available to people with similar interests and preferences, rather than sharing them with people whose interests and preferences do not match. For this reason, it is important to group people with common interests and preferences.

  However, in a system in which an unspecified number of people register and refer to bookmarks such as a social bookmark system, for example, the user cannot know the user name or user ID of the same interest and preference. Therefore, the bookmark management server 10 in this system provides a function of automatically extracting a group of users having common interests and preferences based on bookmark information registered by each user and automatically determining the members of the group.

  The group creation processing unit 11 refers to the user information DB 15 and the bookmark accumulation DB 17 in response to a request from the group creation instruction unit 22 of the user terminal 20, and creates group information by grouping users having common interests and preferences. Then, processing for registration in the group information DB 16 is performed.

  In response to a request from the bookmark registration request unit 23 of the user terminal 20, the bookmark registration unit 12 performs processing for registering a specific Web page as a bookmark in the bookmark accumulation DB 17. In this system, it is possible to set whether the registered bookmark can be seen only by oneself or to make it public to all other users, and it is possible to set whether to allow access to each group created by the group creation processing unit 11 It is like that.

  When there is a bookmark browsing request from the bookmark display processing unit 24 of the user terminal 20, the access control unit 13 is permitted to access the user of the user terminal 20 and the group to which the user belongs from the bookmark accumulation DB 17. To extract and read the bookmark information. The bookmark information transmission unit 14 performs processing for editing the bookmark information read by the access control unit 13 as necessary and transmitting it to the requesting user terminal 20.

  FIG. 2 shows an example of the user information table 151 stored in the user information DB 15. The user information table 151 in the user information DB 15 managed by the bookmark management server 10 stores user ID, name, sex, age, and other attribute information of users who use bookmarks in advance. Further, when the user belongs to a group created by the user or another user, the group information of the member is stored.

  FIG. 3 shows an example of the group information table 161 stored in the group information DB 16. The group information table 161 in the group information DB 16 managed by the bookmark management server 10 includes a group ID created by the group creation processing unit 11, category name representing the group characteristics, and group belonging to the group. The user ID of the user to be stored is stored. Whether or not to provide a category information column is arbitrary and may be omitted.

  FIG. 4 shows an example of the bookmark information table 171 stored in the bookmark accumulation DB 17. The bookmark information table 171 in the bookmark accumulation DB 17 managed by the bookmark management server 10 stores bookmark information registered by the bookmark registration unit 12 in response to a request from the user terminal 20. Information stored in the bookmark information table 171 includes a bookmark ID uniquely assigned to each bookmark, a user ID of a user who registered the bookmark, a group ID of a group permitted to view the bookmark, and a bookmark. A URL or the like indicating a web page is stored. In addition, bookmark summary information, categories, and the like may be stored as necessary.

  The main functions provided by the bookmark management server 10 are a group creation function, a bookmark registration function, and an article browsing function using bookmarks. In particular, when a group is created, a user can automatically create a group by selecting members belonging to the group from the user information DB 15 simply by specifying a creation condition. In bookmark registration, permission to access a registered bookmark can be set for each group. When using registered bookmarks, a list of bookmarks can be displayed in units of groups to which the browsing user belongs. Hereinafter, these processes will be described in detail.

  FIG. 5 is a flowchart of the group creation instruction process in the user terminal 20. The page display unit 21 and the group creation instruction unit 22 in the user terminal 20 execute the process shown in FIG. 5 in response to a group creation request from the user.

  First, in step S10, the Web page of the bookmark management server 10 is displayed according to a request from the user. This Web page is provided with menus and buttons for selecting functions provided by the bookmark management server 10. When a group creation menu is selected on this Web page and there is a group creation instruction (step S11), the process proceeds to the next step S12.

  In step S12, an input screen for group creation conditions is displayed, and information on the group creation conditions and the group name is input from the user. In step S <b> 13, the group creation instruction information such as the input group creation conditions and group name is transmitted to the bookmark management server 10 via the network 30.

  In step S14, the group information sent from the bookmark management server 10 is received and displayed on the display of the user terminal 20, and the user is inquired whether the group information created by the bookmark management server 10 is acceptable. In step S <b> 15, an input of a group information confirmation instruction is obtained from the user, and the confirmation information is transmitted to the bookmark management server 10. At this time, the user can input correction information of the group information instead of the confirmation instruction as needed, and can transmit the correction instruction to the bookmark management server 10.

  FIG. 6 shows an example of group creation conditions that can be selected by the user. FIG. 6A shows an example of creating a group by specifying a user ID or a user name. From the group information input screen 41, the group name of the group to be created and the members constituting the group are shown. Enter the user ID or user name. When the send button is pressed after inputting the group name, user ID, and the like, the group creation instruction information is sent to the bookmark management server 10.

  On the other hand, instead of creating a group by specifying a user ID or a user name, it is possible to request the bookmark management server 10 to create a group by automatically selecting users with similar hobbies and preferences. . FIG. 6B shows an example in which similar users are automatically selected to create a group. When the group name is input on the group information input screen 42 and the “Yes” button is pressed, the bookmark management server 10 automatically has similar preferences based on the bookmarks of each user registered so far. Select users into groups. In specifying the creation condition, it is also possible to specify a user selection method with similar preferences from the detailed setting screen 43 by pressing a detailed setting button. In the detailed setting, for example, selection using the count value of the same bookmark, selection using the similarity of the keyword group included in the article registered as the bookmark, selection using the ranking of the URL registered as the bookmark, and further the keyword group When using the similarity, it is possible to specify detailed creation conditions such as selection for removing keywords included in the URL and selection considering the content rate of keywords appearing in the URL. These sorting methods will be described in detail later.

  If there is no designation on the detailed setting screen 43, system default conditions (for example, use of the same bookmark count value) are used.

  FIG. 7 is a flowchart of group creation processing in the bookmark management server 10. This process is a process executed by the group creation processing unit 11.

  In step S20, group creation instruction information is received from the user terminal 20, and a group name to be created and creation conditions are input. In step S21, user information that matches the creation conditions is acquired based on the bookmarks of each user registered in the bookmark accumulation DB 17, and a group member is determined. If a user ID or a user name is explicitly specified from the user terminal 20 as a creation condition, those users are set as members of the group.

  In step S22, the information on the user group acquired in step S21 is sent to the user terminal 20, and the user terminal 20 is inquired as to whether or not to create a group with this user group. If necessary, the correction information of the members of the group is received from the user terminal 20. If confirmation information is received from the user terminal 20, in step S23, a group having the user group as a member is created, and the group information is registered in the group information table 161 (FIG. 3). When registering group information in the group information table 161, a common keyword is further extracted from the bookmark destination articles of users belonging to the group, and the group is extracted from one or more characteristic keywords that appear most frequently. The category information of the group may be registered in the group information table 161.

  FIG. 8 is a flowchart of bookmark registration processing in the user terminal 20. The page display unit 21 and the bookmark registration request unit 23 in the user terminal 20 execute processing shown in FIG. 8 in response to a bookmark registration request from the user.

  In step S30, a web page is displayed according to an instruction from the user. In step S31, a bookmarklet for registering as a bookmark or a dedicated button for bookmark registration is received from the user.

  In response to the bookmark registration instruction from the user, a bookmark registration request is transmitted to the bookmark management server 10 in step S32. In step S33, a list of group names or an access permission input screen is received from the bookmark management server 10 and displayed. In step S34, user or group name selection information for permitting access to the bookmark to be registered is input from a list of group names or an access permission input screen. If the user or group name that is allowed access is not selected, only the person can view the bookmark. In step S35, bookmark registration information including the information selected in step S34 and information such as the URL of the Web page displayed in step S30 is transmitted to the bookmark management server 10.

  FIG. 9 is a flowchart of bookmark registration processing in the bookmark management server 10. This process is a process executed by the bookmark registration unit 12.

  In step S40, a bookmark registration request is received from the user terminal 20. In step S41, the group ID to which the user who issued the bookmark registration request belongs is read from the user information DB 15, and the group name corresponding to the group ID is extracted with reference to the group information DB 16, or a list of group names or those An access permission input screen including the information is generated and transmitted to the user terminal 20.

  In step S42, bookmark registration information is received from the user terminal 20. In step S43, bookmark information is registered in the bookmark information table 171 in the bookmark accumulation DB 17 based on the received bookmark registration information.

  FIG. 10 is a flowchart of bookmark display processing in the user terminal 20. The page display unit 21 and the bookmark display processing unit 24 in the user terminal 20 execute the process shown in FIG. 10 in response to a bookmark display request from the user.

  In step S50, when a bookmark display request is received from the user, a bookmark information list is requested to the bookmark management server 10. In step S51, a list of bookmark information is received from the bookmark management server 10 and displayed on the display. In step S52, when bookmark selection information is input from the user, in step S53, a Web page is accessed based on the URL associated with the bookmark and displayed on the display.

  FIG. 11 is a flowchart of bookmark information transmission processing in the bookmark management server 10. This process is a process executed by the access control unit 13 and the bookmark information transmission unit 14.

  In step S60, a request for a list of bookmark information is received from the user terminal 20. In step S61, the user information table 151 of the user information DB 15 is referred to, and all groups to which the user who requested the bookmark information list belongs are acquired. Next, in step S62, the bookmark information associated with each group acquired in step S61 is extracted from the bookmark information table 171 of the bookmark accumulation DB 17. In step S63, the extracted bookmark information list is edited, and in step S64, the edited bookmark information list is transmitted to the requesting user terminal 20.

  12 to 15 show display examples of a list of bookmark information on the user terminal 20.

  The user can select what list of bookmark information is displayed on the user terminal 20. It is assumed that the user name of the user who uses the user terminal A is “user A”. The display example shown in FIG. 12 is an example in which a list of bookmark information is displayed for each group to which the user A belongs. In the displayed list of bookmark information, a detailed article content (Web page) can be displayed by clicking a bookmark on one line with an input device such as a mouse.

  FIG. 13 is an example in which a list of all bookmark information permitted to access the user A and the group to which the user A belongs is displayed. FIG. 14 is an example in which the bookmark information shown in FIG. 13 is collectively displayed for each article. FIG. 15 shows an example in which a list of bookmark information registered by the user A himself / herself is displayed.

  Hereinafter, a method in which the bookmark management server 10 groups users having common interests and preferences will be described in more detail.

  As a method for grouping users with similar interests and preferences, the bookmark management server 10 searches for users with similar interests and preferences with the group creator as a reference (hereinafter, the former). When the bookmark management server 10 classifies people who have similar interests and preferences in advance by background processing and requests group creation, instead of using a specific user as a reference. There is a method (hereinafter referred to as the latter method) in which a group creator is extracted from a group of users in which the group creator is classified and is made a member of the group.

  The difference between the grouping result by the former method and the grouping result by the latter method is that, for example, when the group creator is user A and user A, user B, and user C are in the same group, user A and user B The user A and the user C have similar hobbies and preferences, but the user B and the user C do not necessarily have similar hobbies and preferences. In an extreme example, when user A's hobbies are “baseball” and “golf”, user B's hobbies are “golf” and “skiing”, and user C's hobbies are “baseball” and “tennis”, user A , B's common hobby matches with “golf” and users A and C's hobbies match with “baseball”, but users B and C's hobbies do not match.

  On the other hand, in the latter grouping, members with similar interests and preferences are categorized in advance regardless of the group creator, so all members in the group have similar interests and preferences. The former method is preferable when the intention of the group creator is emphasized, and the latter method is preferable in the case of a social bookmark system.

  In the following description, the former method will be mainly described. However, the present invention can be similarly implemented using the latter method.

[Example of grouping using the same bookmark count value]
FIG. 16 is a diagram for explaining an example of grouping using the count value of the same bookmark.

  If there are many identical bookmarks among users registered in the bookmark management server 10, it can be considered that those users have similar interests and preferences. For example, when the user A specifies that the number of the same bookmarks is three or more as the group creation condition, the bookmark management server 10 searches the bookmark accumulation DB 17 for a user who has registered three or more bookmarks identical to the bookmark of the user A. , Automatically create a group with those users as members. In the example of FIG. 16, user A, user B, and user D are selected as members of the group.

  FIG. 17 is a flowchart of the group member determination process using the count value of the same bookmark. This processing is processing performed by the group creation processing unit 11 in step S21 shown in FIG.

  In step S70, based on the user ID of the group creator notified from the user terminal 20, bookmark information already registered by the group creator is acquired from the bookmark accumulation DB 17.

  Next, in step S71, bookmark information for each user other than the group creator is acquired from the bookmark accumulation DB 17. In step S72, the acquired bookmark information of another user is compared with the bookmark information of the group creator, and the number of matching bookmarks is counted.

  In step S73, it is determined whether the count value of the matching bookmark is equal to or greater than a value specified in the group creation condition or a predetermined value defined in advance by the system. Add to group members that the group creator wants to create. The above steps S71 to S74 are repeated for all users other than the group creator (step S75), and after all the users have been processed, the group creation process (see FIG. 7) by the user group selected as a member in step S74. Move on to step S22).

[Example of grouping using similarity of keyword groups]
One method for extracting user interests and preferences is to extract only the keywords (nouns) from the site titles and body text indicated by the accumulated bookmarks, count them, and create groups based on those values. First, the nouns are extracted by performing morphological analysis on the text and titles of the stored articles. The morphological analysis method may be a conventional technique used in general natural language processing. It is also possible to prepare a word dictionary in which many word groups to be categorized including names of persons are registered in advance and extract nouns that match the words in the word dictionary. Each extracted noun is scored by counting the appearance frequency, etc., and the users who have registered bookmarks in which the same noun as the bookmark of the group creator is registered are grouped. Alternatively, ranking of nouns included in articles bookmarked by each user is performed, and users having the same noun included in the ranking are grouped.

  FIG. 18 is a flowchart of a group member determination process using the similarity of keyword groups. This processing is processing performed by the group creation processing unit 11 in step S21 shown in FIG.

  In step S80, based on the user ID of the group creator notified from the user terminal 20, bookmark information already registered by the group creator is acquired from the bookmark accumulation DB 17. Next, in step S81, keywords are extracted by performing morphological analysis on the title and text of each bookmark destination of the bookmark information acquired in step S80, and a keyword list is created and counted. This is repeated for all bookmarks of the group creator (step S82).

  In step S83, a determination target user is selected from users other than the group creator, and bookmark information of the user is acquired from the bookmark accumulation DB 17. In step S84, as in step S81, keywords are extracted by performing morphological analysis on the title and text of each bookmark destination of the acquired bookmark information, and a keyword list is created and counted. This is repeated for all bookmarks of the determination target user (step S85).

  If keywords are extracted and counted for all bookmarks, the process proceeds to step S86, and the count result is compared with the count result of the group creator to calculate the score of the matching keyword. In the score calculation, the degree of coincidence is weighted by the number of occurrences of matching keywords (that is, the count value), and a score indicating the degree of coincidence is calculated. Note that this score calculation formula can be arbitrarily determined. In step S87, it is determined whether or not the calculated score is greater than or equal to a certain value. If it is greater than or equal to a certain value, it is determined in step S88 that the interest and preference are similar and the current determination target user is added to the group members. . The processes in steps S83 to S88 are repeated for all users other than the group creator (step S89). If all users have been processed, the group creation process by the user group selected as a member in step S88. The process moves to (Step S22 in FIG. 7).

[Example of grouping using URL ranking]
In order to extract user interests and preferences, URLs are extracted from accumulated bookmarks, and the interests and preferences are analyzed by counting the number of appearances in units of URL host names (or even directory names). It is also possible to use a method of

  FIG. 19 is a flowchart of group member determination processing using URL ranking. This processing is processing performed by the group creation processing unit 11 in step S21 shown in FIG.

  In step S90, based on the user ID of the group creator notified from the user terminal 20, bookmark information already registered by the group creator is acquired from the bookmark accumulation DB 17. Next, in step S91, the bookmarks acquired in step S90 are counted in units of URL host names (or including directory names). This is repeated for all bookmarks of the group creator (step S92).

  In step S93, a determination target user is selected from users other than the group creator, and bookmark information of the user is acquired from the bookmark accumulation DB 17. In step S94, as in step S91, the acquired bookmarks are counted in units of URL host names (or including directory names). This is repeated for all bookmarks of the determination target user (step S95).

  If URLs have been counted for all bookmarks, the process proceeds to step S96, where the count result is compared with the group creator's count result, and the score of the matching URL is calculated. In the score calculation, the matching degree is weighted according to the number of occurrences of matching URLs (that is, the count value), and a score indicating the degree of matching is calculated. Note that this score calculation formula can be arbitrarily determined. For example, the number of sites bookmarked by each user is counted for each URL, the ranking of the sites is performed, the group creator obtains the top five from the ranking of the bookmarked sites, and these sites are ranked in the top five. You may perform score calculation which makes the score of the user who enters into a high point.

  In step S97, it is determined whether or not the calculated score is equal to or greater than a certain value. If the score is greater than or equal to a certain value, it is determined in step S98 that the interest and preference are similar and the current determination target user is added to the group members. . The processes in steps S93 to S98 are repeated for all users other than the group creator (step S99). If all users have been processed, the group creation process by the user group selected as a member in step S98 is performed. The process moves to (Step S22 in FIG. 7).

[Example of grouping using similarity of keyword group from which keyword included in URL is removed]
In the case of the grouping method using the similarity of the keyword group described in FIG. 18, only keywords (nouns) are extracted from the Web page titles and texts indicated by the accumulated bookmarks, and a group is created based on the values. However, if nouns are simply extracted from the Web page at this time, many site names included in the page are extracted. Therefore, in this embodiment, in order to delete such unnecessary keywords, keywords included in the URL are not extracted when keywords are extracted from titles and articles.
For example, when the URL is “http://www.xxx.co.jp/news/abc”, “www, xxx, co, jp” included in the URL is not extracted as a keyword.

  FIG. 20 is a flowchart of the group member determination process using the similarity of the keyword group from which the keyword included in the URL is removed. This processing is processing performed by the group creation processing unit 11 in step S21 shown in FIG.

  In step S100, first, based on the user ID of the group creator notified from the user terminal 20, bookmark information already registered by the group creator is acquired from the bookmark accumulation DB 17. Next, in step S101, the bookmark URL acquired in step S100 is decomposed to generate a prohibition (removal) word included in the host name or the like. In step S102, keywords such as titles and texts of bookmark destinations are extracted by morphological analysis, and keywords obtained by removing prohibited words from the extracted keywords are registered in the keyword list and counted. This is repeated for all bookmarks of the group creator (step S103).

  In step S104, a user to be determined is selected from users other than the group creator, and bookmark information of the user is acquired from the bookmark accumulation DB 17. In step S105, as in step S101, the URL of the acquired bookmark is decomposed to generate a prohibition (removal) word included in the host name or the like. In step S106, keywords such as the title and text of the bookmark destination are extracted by morphological analysis, and keywords obtained by removing the prohibited words from the extracted keywords are registered in the keyword list and counted. This is repeated for all bookmarks of the determination target user (step S107).

  If the keywords are extracted and counted for all bookmarks, the process proceeds to step S108, and the count result is compared with the count result of the group creator to calculate the score of the matching keyword. In step S109, it is determined whether or not the calculated score is equal to or greater than a certain value. If it is greater than or equal to a certain value, it is determined in step S110 that the interest and preference are similar, and the current determination target user is added to the group members. . The processing in steps S104 to S110 is repeated for all users other than the group creator (step S111), and if all users are processed, group creation processing by the user group selected as a member in step S110. The process moves to (Step S22 in FIG. 7).

[Example of grouping considering the content rate of keywords appearing in URL]
In the above example, in the case of the grouping method using the similarity of the keyword group, the keyword included in the URL is not extracted in order to delete the unnecessary keyword when extracting the keyword from the bookmark destination title or article. However, it is also effective to use a method of identifying and removing many keywords that appear only on a specific site by calculation.

When X is the number of bookmarks of a URL and a is the number of keywords included in a URL, the content rate of keywords appearing in the URL is
Content rate = (a / X) × 100 [Unit:%]
Calculate based on the formula For example, by comparing the content rate of keywords extracted from bookmarks of URLs based on this formula with the content rate of keywords extracted from bookmarks of other URLs, keywords that differ by 90% or more are deleted. To do.

  FIG. 21 shows an example of a method for calculating the content rate of keywords appearing in a URL. Assume that the URL of each bookmark and the keyword extracted from the article at the bookmark destination are as shown in FIG. When the number of URLs common to the host name or directory name is counted, it is as shown in FIG. Here, the content of each extracted keyword included in “http://www.itnews.com/*” is “itnews” (5/5) × 100 = 100 (%), “news” (2 / 5) × 100 = 40 (%),..., As shown in FIG. Similarly, the content rate of keywords contained in sites other than “http://www.itnews.com/*” is examined. If the content rate of “itnews” in other sites is less than 10%, it is included. Since the difference in rate is 90% or more, the keyword similarity is examined after removing the keyword “itnews”.

  FIG. 22 is a flowchart of the group member determination process using the similarity of the keyword group from which the keyword is removed in consideration of the content rate of the keyword appearing in the URL. This processing is processing performed by the group creation processing unit 11 in step S21 shown in FIG.

  First, the processes of steps S120 to S123 are executed for each user including the group creator. First, in step S120, bookmark information for each user is acquired from the bookmark accumulation DB 17. Next, in step S121, the bookmarks acquired in step S120 are counted in units of URL host names (or including directory names). In step S122, keywords such as the title and text of the bookmark destination are analyzed by morphological analysis, keywords are registered, registered in the keyword list, and counted. This is repeated for all bookmarks of the user currently processing (step S123).

  If the above steps S120 to S123 have been processed for all users (step S124), the process proceeds to the next step S125. In step S125, the content rate of each keyword registered in the keyword list of each user is calculated. In step S126, keywords whose content ratio difference described in FIG. 21 is equal to or greater than a certain value are removed from the keyword list for each user.

  Next, the processing of steps S127 to S129 is executed for each user other than the group creator. In step S127, a score indicating the degree of coincidence between the keyword of the group creator and the keyword of another user is calculated. In step S128, it is determined whether or not the calculated score is greater than or equal to a certain value. If it is greater than or equal to a certain value, it is determined in step S129 that the interest and preference are similar and the current determination target user is added to the group members. . The above steps S127 to S129 are repeated for all users other than the group creator (step S130), and after all users have been processed, the group creation process by the user group selected as a member in step S129. The process moves to (Step S22 in FIG. 7).

[Example of grouping users by preprocessing]
Rather than performing grouping after the group creator requests group creation, the group creation processing unit 11 groups users by background processing in advance, and the group creator issues a group creation request. It is also possible to automatically create a group using information that has already been grouped.

  FIG. 23 is a flowchart of group member determination processing using grouping information by preprocessing.

  The group creation processing unit 11 periodically executes the processes of steps S150 to S152 as a pre-process as a background process. In step S150, for each user, a keyword is extracted by morphological analysis of the title and text of each bookmark destination. In step S151, the number of appearances of the extracted keywords is counted and ranked in the order of appearance number. For example, when the same keyword appears five times in one bookmark destination, either the method of counting the number of appearances as 1 (the number of bookmarks) or the method of counting the number of appearances as 5, But you can. In the case of the total number of times, the second or more items in the same bookmark may be counted as 0.1, for example.

  The above steps S150 and S151 are performed for each user, and in step S152, for example, users whose keyword rankings are similar, such that five or more of the same keywords are included in the top 10 keywords. A group is extracted, and information on the user group is created as a grouping candidate and stored.

  When there is an actual group creation request, the group name is input from the user terminal 20 in step S153, and in step S154, the group creator is included in the user group created and stored in the preprocessing. Get user group information. In step S155, the group creator is inquired whether or not to create a group with the acquired user group, and if necessary, the group member is corrected by input from the group creator. Note that the process of step S155 is not essential and may be omitted. In step S156, the group information table 161 is registered with the group information of which the user group is a member. The user information table 151 also registers group information for each user.

  The grouping process using the pre-processing described above is not limited to keyword ranking, but can be similarly used in the case of grouping based on URL ranking.

  In addition, when ranking is generated, scoring is performed using the following attenuation function in consideration of the user's recent interest, and it is also preferable to reflect the recent user's interest more strongly. It is.

Score = (a−X) / a (a is a constant, X is the number of days elapsed)
For example, when a = 31, that is, when the score is set to be 0 in about one month, the scores of articles bookmarked on the same day, 5 days ago, 20 days ago, and 1 month ago are as follows.

That day (31-0) / 31 = 1
5 days ago (31-5) /31=0.84
20 days ago (31-20) /31=0.35
One month ago (31-31) / 31 = 0
At this time, X may be the day when the group is created or the day when the bookmark is last performed. In addition, since ranking by this method requires score calculation every day, the amount of calculation becomes enormous as the number of users and bookmarks increases. Therefore, only the ranking of users who create groups may be calculated using this calculation formula, and the ranking of other users may be obtained by a simple count.

  As described above, in the present embodiment, a group to which a user gives viewing authority can be created in advance and registered in the group information DB 16 of the bookmark management server 10. When a user bookmarks an article, a list of previously registered users and groups is displayed, and the user can specify a group or user permitted to browse. The registration information is stored in the bookmark information table 171 of the bookmark accumulation DB 17 of the bookmark management server 10.

  Users who belong to a group to which browsing authority is given can refer to bookmarks using that authority and can bookmark other articles. The stored articles can be displayed in a list view (View) for each authority such as registered users and groups as shown in FIG. Further, when the user confirms the bookmark, as shown in FIG. 13, all articles of users and groups defined by the user can be displayed together. At this time, when there are two or more articles posted such as the article E and the article F in FIG. 13, the same articles can be displayed together as shown in FIG. 14, for example. Furthermore, when the browsing authority given to each article is lost, it is possible to confirm the browsing authority of each article as shown in FIG.

  In addition, it also has a function to display the ranking of bookmarked articles by group or user. This feature makes it easier for users to access popular articles. It also helps to find the characteristics of each group by comparing the whole and the group. It is also possible to generate an RSS with browsing restrictions for each of the various views listed here.

  Members of the group registered in the group information DB 16 can be added / deleted at any time by the user who is the creator. It is also possible to delete the group itself. In addition, a function can be provided in which the bookmark management server 10 automatically changes the group members. In this case, the bookmark management server 10 monitors the status of the registered bookmarks, and evaluates the interests and preferences of the user by ranking the URLs of the bookmarks and re-evaluating the keywords extracted from the bookmarked article. Examine changes in similarity. Then, the suitability of the group members is determined by the same method as when creating the group. The status of bookmarks for group updates may be monitored at the moment when a user registers or deletes a bookmark, or periodically such as daily, weekly, or monthly. Also good.

  The processing performed by the bookmark management server 10 and the processing performed by the user terminal 20 described above can be realized by a computer and a software program, and the program can be recorded on a computer-readable recording medium and provided. It is also possible to provide through.

It is a figure which shows the system configuration example which concerns on embodiment of this invention. It is a figure which shows the example of the user information table stored in user information DB. It is a figure which shows the example of the group information table stored in group information DB. It is a figure which shows the example of the bookmark information table stored in bookmark accumulation | storage DB. It is a flowchart of the group creation instruction process in a user terminal. It is a figure which shows the example of the group creation conditions which a user can select. It is a flowchart of the group creation process in a bookmark management server. It is a flowchart of the bookmark registration process in a user terminal. It is a flowchart of the bookmark registration process in a bookmark management server. It is a flowchart of the bookmark display process in a user terminal. It is a flowchart of the bookmark information transmission process in a bookmark management server. It is a figure which shows the example of a display of the list of bookmark information in a user terminal. It is a figure which shows the example of a display of the list of bookmark information in a user terminal. It is a figure which shows the example of a display of the list of bookmark information in a user terminal. It is a figure which shows the example of a display of the list of bookmark information in a user terminal. It is a figure explaining the example of grouping using the count value of the same bookmark. It is a flowchart of the group member determination process using the count value of the same bookmark. It is a flowchart of the group member determination process using the similarity of a keyword group. It is a flowchart of the group member determination process using ranking of URL. It is a flowchart of the group member determination process using the similarity of the keyword group which removed the keyword contained in URL. It is a figure which shows the example of the calculation method of the content rate of the keyword which appears in URL. It is a flowchart of the group member determination process using the similarity of the keyword group which removed the keyword in consideration of the content rate of the keyword which appears in URL. It is a flowchart of the group member determination process using the grouping information by pre-processing.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Bookmark management server 11 Group creation process part 12 Bookmark registration part 13 Access control part 14 Bookmark information transmission part 15 User information database (DB)
16 Group information database (DB)
17 Bookmark storage database (DB)
20, 20 ', 20 "User terminal 21 Page display unit 22 Group creation instruction unit 23 Bookmark registration request unit 24 Bookmark display processing unit 30 Network

Claims (6)

A storage unit for storing a bookmark information table having information identifying a user who has registered a bookmark and an address registered as a bookmark;
By comparing the address group registered as the bookmark by the first user with the address group registered as the bookmark by the second user by referring to the storage unit, the address from the beginning of the address to the predetermined part matches. A group creation processing unit for registering the second user in the storage unit as a person who permits access to the bookmark registered by the first user,
A bookmark management device comprising: Computer
A storage unit for storing a bookmark information table having information identifying a user who has registered a bookmark and an address registered as a bookmark;
By comparing the address group registered as the bookmark by the first user with the address group registered as the bookmark by the second user by referring to the storage unit, the address from the beginning of the address to the predetermined part matches. As a group creation processing unit for registering the second user in the storage unit as a person who permits access to the bookmark registered by the first user.
A bookmark management program to make it work. The group creation processing unit included in the computer
Referring to a storage unit for storing a bookmark information table having information for identifying a user who has registered a bookmark and an address registered as a bookmark,
If the address group registered as a bookmark by the first user is compared with the address group registered by the second user as a bookmark, and there are more than a predetermined number of addresses that match from the beginning of the address to a predetermined part, The second user is registered in the storage unit as a person who permits access to the bookmark registered by the first user.
A bookmark management method characterized by that. In a bookmark management device that manages a bookmark that records the address of information registered by a user from a user terminal,
A bookmark accumulation storage unit for accumulating and storing bookmarks registered from user terminals;
Enter group creation instruction information that is a unit of a user group that grants access to the bookmark from the user terminal, and according to the creation conditions specified by the user terminal or the predetermined creation conditions defined by the system, A group creation processing unit that determines a user to be created and creates a group;
A group information storage unit for storing information on the created group;
A bookmark registration request from the user terminal and a group designation information stored in the group information storage unit for giving access permission to the bookmark to be registered are inputted, and information about the requested bookmark and a group to which access permission is given is entered. , A bookmark registration unit to be stored in the bookmark accumulation storage unit ,
An access control unit for determining whether a bookmark registered in the bookmark storage unit is granted access permission to a group to which a user of the user terminal belongs in response to a bookmark display request from a user terminal; ,
A bookmark information transmitting unit that transmits information of a bookmark to which access permission is given based on a determination result of the access control unit to the user terminal ;
Based on the bookmarks stored in the bookmark accumulation storage unit, the group creation processing unit determines whether the bookmark address registered by each user or the similarity of the contents of the article at the bookmark destination or the similarity with a part in common. Based on the calculated score, it is determined whether the user's interests or preferences are similar, and a group of users with similar interests or preferences is made a member of the same group,
In addition, the group creation processing unit extracts a keyword by morphologically analyzing the title or text of the bookmark destination article of each bookmark stored in the bookmark accumulation storage unit, and extracted from the bookmark registered by each user. The score is calculated based on the degree of matching of keywords,
In addition, the group creation processing unit, from the keyword extracted by the morphological analysis, the keyword contained in the specific part of the bookmark address, or the keyword indicated by the specific address common to a part of the bookmark A keyword having a difference between the content rate of the specific address and the content rate of the same keyword with respect to another bookmark address is determined after removing a keyword having a predetermined value or more. Bookmark management device. The computer,
A bookmark accumulation storage unit for accumulating and storing bookmarks registered from user terminals;
Enter group creation instruction information that is a unit of a user group that grants access to the bookmark from the user terminal, and according to the creation conditions specified by the user terminal or the predetermined creation conditions defined by the system, A group creation processing unit that determines a user to be created and creates a group;
A group information storage unit for storing information on the created group;
A bookmark registration request from the user terminal and a group designation information stored in the group information storage unit for giving access permission to the bookmark to be registered are inputted, and information about the requested bookmark and a group to which access permission is given is entered. , A bookmark registration unit to be stored in the bookmark accumulation storage unit ,
An access control unit for determining whether a bookmark registered in the bookmark storage unit is granted access permission to a group to which a user of the user terminal belongs in response to a bookmark display request from a user terminal; ,
Functioning as a bookmark information transmission unit that transmits information of a bookmark to which access permission is given based on a determination result of the access control unit to the user terminal ;
Based on the bookmarks stored in the bookmark accumulation storage unit, the group creation processing unit determines whether the bookmark address registered by each user or the similarity of the contents of the article at the bookmark destination or the similarity with a part in common. Based on the calculated score, it is determined whether the user's interests or preferences are similar, and a group of users with similar interests or preferences is made a member of the same group,
In addition, the group creation processing unit extracts a keyword by morphologically analyzing the title or text of the bookmark destination article of each bookmark stored in the bookmark accumulation storage unit, and extracted from the bookmark registered by each user. The score is calculated based on the degree of matching of keywords,
In addition, the group creation processing unit, from the keyword extracted by the morphological analysis, the keyword contained in the specific part of the bookmark address, or the keyword indicated by the specific address common to a part of the bookmark After the removal of keywords whose difference between the content rate of the specific address and the content rate of the same keyword with respect to another bookmark address is equal to or greater than a predetermined value, the matching degree of the keyword is determined.
A bookmark management program. In a bookmark management method executed by a bookmark management apparatus that includes a bookmark accumulation storage unit that accumulates and stores a bookmark that records an address of information registered by a user from a user terminal, and that manages the bookmark by the bookmark accumulation storage unit;
Enter group creation instruction information that is a unit of a user group that grants access to the bookmark from the user terminal, and according to the creation conditions specified by the user terminal or the predetermined creation conditions defined by the system, A group creation process for creating a group by determining a user to be stored, and storing information on the created group in the group information storage unit;
A bookmark registration request from the user terminal and a group designation information stored in the group information storage unit for giving access permission to the bookmark to be registered are inputted, and information about the requested bookmark and a group to which access permission is given is entered. , A bookmark registration process to be stored in the bookmark accumulation storage unit;
An access control process for determining whether a bookmark registered in the bookmark storage unit is granted access permission to a group to which a user of the user terminal belongs in response to a bookmark display request from the user terminal; ,
Possess a bookmark information transmission process of transmitting the information of the bookmark that permission is given based on a determination result of the access control process to the user terminal,
In the group creation process, based on the bookmark stored in the bookmark accumulation storage unit, the bookmark address registered by each user or the similarity of the contents of the bookmark destination article or the similarity with a part in common Based on the calculated score, it is determined whether the user's interests or preferences are similar, and a group of users with similar interests or preferences is made a member of the same group,
In the group creation process, keywords are extracted by morphological analysis of the title or body of the bookmarked article of each bookmark stored in the bookmark storage unit, and extracted from the bookmark registered by each user. The score is calculated based on the degree of matching of keywords,
In the group creation process, a keyword obtained from a keyword included in a specific part of the bookmark address or an article pointed to by a specific address having a part of the bookmark in common from the keyword extracted by the morphological analysis. Management method for determining the matching degree of the keyword after removing a keyword whose difference between the content rate of the specific address and the content rate of the same keyword with respect to another bookmark address is a predetermined value or more .

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