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:
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.
KANG Nan; JIN Bei-hong; LI Jing. Interest Mining and Recommendation System for Blog[J]. Computer Engineering, 2008, 34(2): 72-74.