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

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.

Key words: Blog search, interest mining, text classification, feature selection

中图分类号: 

• TP311.5