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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第2期72-74,共3页
Computer Engineering
关键词
Blog搜索
兴趣挖掘
文本分类
特征选择
log search
interest mining
text classification
feature selection
