JP2007102635A - Blog community recommendation method, system and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To recommend a blog community appropriate for each end user as a field of communication based on matching between community attributes and the end user's taste for community attribute. <P>SOLUTION: In a blog community analysis device, each blog content constituting a community is analyzed based on community definition information to calculate community attribute information for one or more of scale, activeness and openness, a blog community matched to a community recommendation condition is retrieved, and community information obtained as the retrieval result is displayed on a screen according to a request from an end user terminal. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a blog community recommendation method, apparatus, and program, and more particularly to a blog community recommendation method, apparatus, and program for recommending an appropriate blog community that enables comfortable communication to an end user. About.

  In the conventional online community recommendation technology, natural language processing technology is applied to extract the central topic words in the community, and the similarity to the topic words that the end user is interested in is quantitatively evaluated by cosine similarity, etc. And the method of recommending a community with many of these is the mainstream.

  Moreover, although it is not an online community recommendation technique, there is also an online community evaluation technique that quantitatively evaluates activity based on the information update degree and browsing frequency of the online community as an associated technique [see, for example, Patent Document 1].

  On the other hand, the blog site, which has been increasing rapidly in recent years, shows that entries created by blog authors based on time series, comments added by blog readers, and entries related to the entries in different blogs have been registered. In addition to accumulating blog content composed of trackbacks, if the comment giver specifies the URL of his blog in the comment, the blog URL is also accumulated. For this reason, a hyperlink is automatically generated between a blog that has received a comment or trackback and a blog of the commentator or the trackback sender, and multiple blogs can interact with each other. It is possible to construct an online community that is constantly connected (see, for example, Non-Patent Document 1). Such enhancement of communication functions is one of the characteristics of Blog for conventional Web sites.

The subject of the present invention is an online community constituted by such constant communication between a plurality of blog sites, and this is particularly called a blog community.
JP 2005-115471 A IT Glossary e-Words Blog [Blog], Inccept, updated May 27, 2005, [Search 2005/07/28], Internet URL <URL: http://e-words.jp/w/Blog. html>

  In the above-described conventional technology, the similarity between the topic that the end user is interested in and the central topic of the community are quantitatively evaluated and recommended. Is the method. However, in order to realize comfortable communication, the similarity of topics is not a sufficient condition, and there are the following problems depending on the end user's preference regarding online communication activities.

  (1) It is difficult to grasp the community scale. For this reason, there are cases where, as a result of participating in a community with few members, it becomes noticeable and stressed, or conversely, as a result of participating in a community with many members, stress is learned from communication with an unspecified number of members. Exists.

  (2) It is difficult to grasp the community activity level. For this reason, for example, as a result of participating in a community with a high frequency of communication activities, it becomes necessary to frequently write a reply comment to the comment on its own entry, and it is stressful, or conversely, it participates in a community with a low activity frequency As a result, there are cases where it is difficult to get answers to your own comments and you feel stressed.

  (3) It is difficult to grasp the degree of community opening. For this reason, for example, as a result of participating in a community where close communication is carried out only between specific members, as a result of feeling stress due to alienation, or conversely, as a result of participating in a community where members are constantly changing, There are cases where people are stressed by communication activities with unspecified unseen people.

  Any of the above (1) to (3) is difficult to present in advance by the community recommendation method according to the prior art, and the end user can perform content browsing activities before community participation or continuous communication after community participation. It is necessary to read community attributes such as scale, activity and openness through activities.

  However, as one of the features, the Blog community targeted by the present invention is composed of a plurality of physically distributed Blog servers. Requires a lot of effort.

  On the other hand, for example, in the online community evaluation technique such as Patent Document 1 described above, although the activity is quantitatively evaluated from the information update frequency and the browsing frequency, the viewpoint of the update frequency for each community member is lacking. It is not possible to evaluate how often members are engaged in communication activities. For this reason, the above case (2) cannot be solved.

  In other words, the conventional online community recommendation technology and online community evaluation technology have a problem that end users cannot grasp community attributes such as scale, activity level, and openness level before joining the community.

  The present invention has been made in view of the above points, and in the Blog community recommendation technology, based on matching of community attributes such as the size, activity level, and release level of the Blog community, and preference related to the end user community attribute, It is an object of the present invention to provide a blog community recommendation method, apparatus, and program capable of recommending an appropriate blog community for each end user as a place.

  FIG. 1 is a diagram for explaining the principle of the present invention.

The present invention (Claim 1) is a Blog community recommendation method in a system having a Blog community analysis device and a Blog community recommendation device,
In the community analyzer,
The community definition information is obtained from the community definition information storage means storing the community definition information that is the definition information of a set of a plurality of blogs performing mutual communication, and the contents of each blog constituting the blog community are analyzed. (Step 1), calculate attribute information of one or more communities of scale, activity, and openness, and store the attribute information in the attribute information storage means (step 2),
In community recommendation device,
Obtaining community recommendation conditions related to the desired community attributes of the end user from the end user terminal (step 3);
Request the community analyzer to search for a Blog community that meets the community recommendation conditions (step 4),
In the community analyzer,
Based on the community recommendation condition that is a request from the community recommendation device, the community definition information storage unit and the attribute information storage unit are searched, and the community definition information and attribute information obtained as a search result are used as community information to the community recommendation device. Send (step 5),
In community recommendation device,
Community information is displayed on the screen in response to a request from the end user terminal (step 6).

The present invention (Claim 2) is a Blog community recommendation system having a Blog community analysis device 10 and a Blog community recommendation device 20,
Blog community analyzer 10
Community definition information storage means 12 for storing community definition information which is definition information of a set of a plurality of Blogs performing mutual communication;
The community definition information is acquired from the community definition information storage means 12, the contents of each blog constituting the blog community are analyzed, and the attribute information of one or more communities of scale, activity, and openness is calculated. Community analysis means 11 to be stored in the attribute information storage means 13,
Based on the community recommendation condition related to the community attribute acquired from the Blog community recommendation device 20, the community definition information storage unit 12 and the attribute information storage unit 13 are searched, and the community definition information and the attribute information obtained as a search result are community information. Search means 14 for transmitting to the Blog community recommendation device as
Have
Blog community recommendation device 20
Community recommendation condition acquisition means 21 for acquiring community recommendation conditions related to a desired community attribute of the end user from the end user terminal;
Community matching means 22 that requests the community analysis device 10 to search for a Blog community that matches the community recommendation condition, and obtains a search result from the community analysis device;
Community display control means 23 for displaying the community information on a screen in response to a request from the end user terminal.

The present invention (Claim 3) includes community definition information storage means for storing community definition information, which is definition information of a set of a plurality of Blogs performing mutual communication, and attribute information storage means for storing analysis results. Have a computer that functions as a blog community analyzer,
Obtain the community definition information from the community definition information storage means, analyze the contents of each blog constituting the blog community, and calculate the attribute information of one or more communities of scale, activity, and openness Community analysis step to store in the attribute information storage means,
Based on the community recommendation condition related to the community attribute acquired from the Blog community recommendation device, the community definition information storage means and the attribute information storage means are searched, and the community definition information and attribute information obtained as a search result are used as community information. And a search step to be transmitted to the community recommendation device.

The present invention (Claim 4) provides a computer functioning as a community recommendation device,
A community recommendation condition acquisition step of acquiring a community recommendation condition related to a desired community attribute of the end user from the end user terminal;
A community matching step of requesting a blog community that matches the community recommendation condition to the community analysis device, and acquiring community information obtained as a search result from the community analysis device;
And a community display control step for displaying community information on a display unit of the end user terminal in response to a request from the end user terminal.

  As described above, according to the present invention, an appropriate Blog for each end user as a place of communication based on matching of community attributes such as the size, activity level, and release level of the Blog community and preferences related to the community attribute of the end user. It is possible to recommend a community.

  In addition, since the general blog content that is currently popularized can be used as it is, the existing blog content can be used as a resource as it is.

  As a result, it is possible to solve the conventional problem that the end user cannot grasp community attributes such as scale, activity level, and openness level before joining the community.

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

  FIG. 3 shows a system configuration according to an embodiment of the present invention.

  The system shown in FIG. 1 includes a blog community analysis device 10, a blog community comet device 20, an end user terminal 30, a blog community extraction device 40, and a general weblog server 50.

  Each apparatus is connected by a network, and further connected to a general weblog server 50 and an end user terminal 30 via the Internet.

  The community analysis device 10 includes a community analysis unit 11, a community definition storage unit 12, an attribute information storage unit 13, and a community search unit 14.

  The community definition storage unit 12 is connected to the Internet from a blog community extracting device 40 in which a general blog community extracting algorithm is mounted in advance, and a blog community is extracted from general blog contents that are open to the public. Blog community definition information defining elements is created and stored in the community definition storage unit 12.

  The community analysis unit 11 reads the community definition information stored in the community definition storage unit 12, analyzes the contents of each blog constituting the blog community acquired from the general blog server 50, and determines the scale and activity level. Then, community attribute information including at least one of the open degrees is calculated and stored in the attribute information storage unit 13.

  The community search unit 14 searches the community definition information storage unit 12 and the attribute information storage unit 13 based on the community recommendation condition related to the community attribute input from the end user terminal 30 via the Blog community recommendation device 20 and performs a search. The result is returned to the Blog community recommendation device 20.

  The Blog community recommendation device 20 includes a community recommendation condition acquisition unit 21, a community matching unit 22, and a community display control unit 23.

  The community recommendation condition acquisition unit 21 receives an input from the end user terminal 30 and acquires community recommendation conditions related to community attributes desired by the end user.

  The community matching unit 22 requests a search for a Blog community that matches the community recommendation condition acquired via the community recommendation condition acquisition unit 21 to the community search unit 14 of the Blog community analysis device 10 and acquires a search result.

  The community display control unit 23 causes the end user terminal 30 to display a search result (community information obtained as a matching result) in response to a request from the end user terminal 30.

  The end user terminal 30 includes an input device 31 and a display device 32.

  FIG. 4 shows a configuration example of general blog content. In general, entries are classified in time series and are text information including an image URL and the like, and correspond to what is written in a diary. A comment is usually text information written by a blog reader for an entry, and the blog reader can also specify the top page URL of his / her blog. A hyperlink to the page URL is automatically generated. The trackback is a trackback source entry related to the trackback destination entry, and a hyperlink to the trackback source entry is automatically generated based on the TrackbackPing received by the trackback destination blog.

  Here, what is called “Blog community” is a set of a plurality of Blogs performing frequent mutual communication, and its definition information is called “Blog community definition information”. As a simple example of implementation of such Blog community definition information, for example, “RDF Site Summary (RSS) 1.0”, Gabe Beged-Dov & Dan Brickley et.al., 2001/05/30 update, [2004 / 10/29 Search] Use the URL of the Internet URL <URL: http: //web.resource.org/rss/1.0/spec>. And describe the reference URL of the blog belonging to the blog community under the <item> tag. . In addition, attribute information such as the size, activity level, and openness level of the blog community can be described in a unique extended XML format (for example, <number> <activity> <openness>) under the <channel> tag.

  Next, the operation of the above system will be described.

  FIG. 5 is a diagram for explaining the operation in one embodiment of the present invention.

  As a premise of the following processing, a blog community is extracted from general blog content that is connected to the Internet and published by the blog community extraction device 40 in which a general blog community extraction algorithm is mounted in advance. It is assumed that the Blog community definition information defining the elements is created and stored in the community definition information storage unit 12.

  Step 100) The community analysis unit 11 of the Blog community analysis device 10 acquires the community definition information from the Blog community definition information storage unit 12 and analyzes each Blog constituting the Blog community.

  The analysis method is shown below.

  (1) In the analysis, for example, first, the number of blogs constituting the blog community is counted, and the deviation value of the number of blogs constituting the blog community is calculated with respect to the distribution of the number of blogs constituting the blog community. Is stored in the attribute information storage unit 13 as the value of the scale attribute of the Blog community.

  (2) For the analysis, for example, for each blog entry, comment, and trackback constituting the blog community, the blog URL to which each entry belongs is set as the BloggerID of the registrant of the entry, and the comment written in each comment. The blog URL of the grantor is the BloggerID of the comment giver, the URL of the blog of the source of each trackback is the BloggerID of the sender of the trackback, the average is the frequency of updating the blog community for each BloggerID, and all The deviation value of the update frequency number of the Blog community with respect to the update frequency distribution of the Blog community is calculated, and the deviation value is stored in the attribute information storage unit 13 as the value of the activity attribute of the Blog community.

  (3) Moreover, the said analysis calculates the sum of the number of comments mutually given between the blogs which comprise the said blog community, and the number of trackbacks transmitted mutually as a traffic frequency in a community, for example within a fixed period. At the same time, calculate the sum of the number of comments and the number of trackbacks sent to each other between the blogs that make up the blog community and the blogs that do not belong to the blog community as the frequency of traffic outside the community. Then, the value obtained by dividing the traffic frequency in the community by the frequency of traffic outside the community is calculated as the member occupancy rate of the Blog community, and the component of the Blog community that has occurred within a certain period of the component of the Blog community is calculated. Add the number of additions and withdrawals to the blog community The value divided by the number of added or withdrawn state transitions that can occur for all blogs that have belonged within a certain period of time is calculated as the member fluctuation rate of the relevant blog community. Calculate the deviation value of the openness index of the corresponding Blog community from the distribution of openness index of all the Blog communities, after the value weighted by a constant for each rate is used as the openness index of the relevant Blog community. Is stored in the attribute information storage unit 13 as the value of the openness attribute of the Blog community.

Step 200) The blog community recommendation device 20 includes, in the community recommendation condition acquisition unit 21, a community including any range specification of the community scale attribute, active attribute, openness attribute, or the like from the input device 31 of the end user terminal 30. Get recommendation conditions via the general Internet. Here, as community recommendation conditions, for example,
“Scale <50 AND Activity> 60 AND Openness> 60”
The conditions are as follows.

  Step 300) The community matching unit 22 requests the Blog community analysis device 10 to search for community recommendation conditions.

  Step 400) Based on the search request, the community analysis device 10 searches the community definition information storage unit 12 and the attribute information storage unit 13 in which the analysis result is stored, and the Blog community definition information and attribute information satisfying the community recommendation condition Is returned to the community matching unit 22 as community matching information.

  Step 500) The community display control unit 23 acquires community matching information satisfying the recommendation conditions from the community matching unit 22, and can display the information on the end user terminal 30, for example, the size attribute and the activity attribute of each Blog community. RSS1 that specifies the XSLT stylesheet that embeds the openness attribute as the value of <number>, <activity.>, And <openness> tag under the <channel> tag, respectively, and allows each tag to be displayed by a general Web browser It is returned to the end user terminal 30 after being converted into a format such as 0.0.

  Thereby, the end user can grasp community attributes such as scale, activity level, and openness level before community participation.

  The present invention constructs the functions of the Blog community analysis device 10 and the Blog community recommendation device 20 of the above embodiment as a program, and installs it on a computer used as the Blog community analysis device and the Blog community recommendation device. It can be executed or distributed via a network.

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

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

  The present invention is applicable to online communities.

It is a figure for demonstrating the principle of this invention. It is a principle block diagram of this invention. 1 is a system configuration diagram according to an embodiment of the present invention. It is a general blog content structure and communication example. It is a figure for demonstrating the operation | movement in one embodiment of this invention.

Explanation of symbols

10 Blog Community Analysis Device 11 Community Analysis Unit, Community Analysis Unit 12 Community Definition Information Storage Unit, Community Definition Information Storage Unit 13 Attribute Information Storage Unit, Attribute Information Storage Unit 14 Search Unit, Community Search Unit 20 Blog Community Recommendation Device 21 Community Recommendation Condition acquisition unit, community recommendation condition acquisition unit 22 Community matching unit, community matching unit 23 Community display control unit, community display control unit 30 End user terminal 31 Input device 32 Display device 40 Blog community extraction device 50 Weblog server

Claims (4)

A Blog community recommendation method in a system having a Blog community analysis device and a Blog community recommendation device,
In the Blog Community Analyzer,
The community definition information is obtained from the community definition information storage means storing the community definition information that is the definition information of a set of a plurality of blogs performing mutual communication, and the contents of each blog constituting the blog community are analyzed. Calculating the attribute information of one or more communities of scale, activity, and openness, and storing it in the attribute information storage means,
In the Blog community recommendation device,
Get community recommendation conditions related to desired community attributes of end users from end user terminals,
Requesting the Blog community analysis device to search for a Blog community that matches the community recommendation conditions,
In the Blog Community Analyzer,
Based on the community recommendation condition which is a request from the Blog community recommendation device, the community definition information storage unit and the attribute information storage unit are searched, and the community definition information and attribute information obtained from the search result are used as community information. To the Blog community recommendation device as
In the Blog community recommendation device,
Displaying the community information in response to a request from the end user terminal;
Blog community recommendation method characterized by that. Blog community recommendation system with Blog community analysis device and Blog community recommendation device,
The Blog Community Analysis Device
Community definition information storage means for storing community definition information which is definition information of a set of a plurality of Blogs performing mutual communication;
The community definition information is acquired from the community definition information storage means, the contents of each blog constituting the blog community are analyzed, and the attribute information of one or more communities of scale, activity, and openness is calculated. Community analysis means for storing in the attribute information storage means,
Based on community recommendation conditions related to community attributes acquired from the Blog community recommendation device, the community definition information storage means and the attribute information storage means are searched, and community definition information and attribute information obtained as a search result are community information. Search means for transmitting to the Blog community recommendation device as
Have
The Blog community recommendation device
Community recommendation condition acquisition means for acquiring a community recommendation condition related to a desired community attribute of the end user from the end user terminal;
Community matching means for requesting the community analysis device to search for a Blog community that matches the community recommendation condition, and obtaining a search result from the Blog community analysis device;
Community display control means for displaying the community information on a screen in response to a request from the end user terminal;
Blog community recommendation system characterized by having. It has community definition information storage means for storing community definition information, which is definition information of a set of multiple Blogs performing mutual communication, and attribute information storage means for storing analysis results, and functions as a Blog community analysis device To the computer
The community definition information is acquired from the community definition information storage means, the contents of each blog constituting the blog community are analyzed, and the attribute information of one or more communities of scale, activity, and openness is calculated. A community analysis step for storing in the attribute information storage means;
Based on community recommendation conditions related to community attributes acquired from the Blog community recommendation device, the community definition information storage means and the attribute information storage means are searched, and the community definition information and attribute information obtained as a search result are used as community information. A search step to send to the Blog community recommendation device;
A program characterized by having executed. To a computer that functions as a blog community recommendation device,
A community recommendation condition acquisition step of acquiring a community recommendation condition related to a desired community attribute of the end user from the end user terminal;
A community matching step of requesting a Blog community analysis device that matches the community recommendation condition, and acquiring community information obtained as a search result from the community analysis device;
A community display control step of displaying the community information on a display unit of the end user terminal in response to a request from the end user terminal;
A program characterized by having executed.

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