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Blog friend recommendation method based on tree log pattern analysis

A friend recommendation and pattern analysis technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problem of not considering the parallel link relationship and indirect access characteristics between blogs, and not fully considering the hierarchical relationship and depth of website organizational structure. It does not consider the logical relationship of user access pages, blog pages, etc., to achieve the effect of improving user experience, increasing access rate, and good organization

Inactive Publication Date: 2011-07-13
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

They generally make recommendations based on the established friendship between blogs and the number of visits recorded by the server. These recommendation methods are based on frequent item mining or frequent sequence mining, and have the following deficiencies and shortcomings: 1) They do not consider the unique parallel link relationship between blogs and indirect access features; 2) did not consider the logical relationship between blog pages hidden in the order of users' access to pages; 3) did not fully consider the hierarchical relationship and depth relationship of the website organizational structure

Method used

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  • Blog friend recommendation method based on tree log pattern analysis
  • Blog friend recommendation method based on tree log pattern analysis
  • Blog friend recommendation method based on tree log pattern analysis

Examples

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with specific examples and accompanying drawings.

[0028] Through the blog log analysis method provided by the present invention, frequent access patterns can be extracted quickly and effectively, and potential blog friends are recommended to visiting users through an intelligent screening process. The overall structure diagram is as follows figure 1 As shown, the specific implementation steps are as follows:

[0029] 1) figure 1 The log parser in the log parses the server logs within a period of time, deletes redundant information, and constructs an access triplet (triple) to Apache server Take the log as an example, the specific process is as follows:

[0030] The logs recorded in the Apache server can be expressed in the following form:

[0031] 117.24.255.86 - - [01 / Jul / 2010:18:01:25 +0800] "GET

[0032] http: / / B.blog.163.com HTTP / 1.0" 200 1231

[0033] "117.24.255.230.1277794615926482" 4680...

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Abstract

The invention discloses a blog friend recommendation method based on tree log pattern analysis. An offline digging method is adopted, a server log is analyzed to extract the access record of a visitor on a blog page; an access log tree which takes a blog to be recommended as a root is further constructed by the technologies of grouping, sorting, loop-back removal and the like; the constructed access log tree is frequently dug to find a frequent subtree conforming to a preset requirement; nodes in the frequent subtree serves as candidate blog friends; a recommendation degree is calculated according to the set formula; and friends with highest scores are recommended. An algorithm in the method is different from the traditional algorithm based on frequent item digging or frequent sequence digging; a frequent tree structure digging method is adopted for fully digging aiming at the specific parallel link relationship and indirect access characteristic of the blogosphere; and potential access contact among blogs is extracted and is recommended to an access user, thereby improving user experience. The blog friend recommendation method is an efficient and practical blog recommendation method.

Description

technical field [0001] The invention relates to data analysis technology of blog server logs and mining technology of frequent access patterns, in particular to a blog friend recommendation method based on tree log pattern analysis. Background technique [0002] With the continuous development of Internet technology, blogs are no longer simply a platform for publishing personal articles and information. After adding various interactive functions such as messages, attention, friends, etc., users will gradually form a blog circle. . The blogosphere includes friends, potential friends (bloggers who have not yet joined the friend list or friends of friends), other bloggers with similar interests, and so on. In a typical web2.0 application like a blog, the key to the success of the system is to establish a social relationship with like-minded users. Therefore, friend recommendation for blogs has become the main function of the blog system. The blog friend recommendation applica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 陈刚胡天磊寿黎但陈珂周健贝毅君
Owner ZHEJIANG UNIV
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