Blog friend recommendation method based on tree log pattern analysis

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...

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

Images