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面向Blog的兴趣挖掘和推荐系统
引用本文:康楠,金蓓弘,李京. 面向Blog的兴趣挖掘和推荐系统[J]. 计算机工程, 2008, 34(2): 72-74
作者姓名:康楠  金蓓弘  李京
作者单位:中国科学院软件研究所软件工程技术中心,北京,100080
摘    要:Blog作为Web2.0的重要应用以其个性化的信息发布平台、多元化的内容载体等特点吸引网络用户。撰写和浏览Blog已经成为网络文化的流行热点,推动了Blog搜索服务的发展。目前的Blog搜索服务大都是基于对查询关键词的匹配来实现的,缺乏自动提取用户兴趣并进行推荐的能力。该文设计和实现了一个面向Blog的兴趣挖掘和推荐系统Blog-digger,该系统采用兴趣挖掘技术,能自动识别用户的兴趣,并主动推荐主题相关的Blog。实验结果证明了该系统的有效性。

关 键 词:Blog搜索  兴趣挖掘  文本分类  特征选择
文章编号:1000-3428(2008)02-0072-03
收稿时间:2007-02-15
修稿时间:2007-02-15

Interest Mining and Recommendation System for Blog
KANG Nan,JIN Bei-hong,LI Jing. Interest Mining and Recommendation System for Blog[J]. Computer Engineering, 2008, 34(2): 72-74
Authors:KANG Nan  JIN Bei-hong  LI Jing
Affiliation:??Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100080??
Abstract:Blog attracts users involved by providing a personalized information release platform and presenting a wide range of contents. Writing and browsing Blog has become the Internet’s new fashion, which promotes the development of Blog search service. However the most up-to-date Blog search services only provide keyword-based matching, lacking automatic extraction of user interests and further interest-related Blog recommendation. This paper describes the design and implementation of an interest mining and recommendation system Blog-digger. The system adopts interest mining technology and can automatically identify the use’s interests and recommend interest-related Blog initiatively. Experimental results show that the system is effective.
Keywords:log search   interest mining   text classification   feature selection
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