东南大学学报（英文版）2007，Vol.23Issue(3)：347-351,5.
基于PLSA的面向用户的网络搜索
User-oriented web search based on PLSA
摘要
Abstract
In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones,and that this improper orientation leads to the search engines' inability to meet the personalized requirements of users,a novel method based on probabilistic latent semantic analysis (PLSA) is proposed to convert query-oriented web search to user-oriented web search.First, a user profile represented as a user's topics of interest vector is created by analyzing the user's click through data based on PLSA,then the user's queries are mapped into categories based on the user's preferences,and finally the result list is re-ranked according to the user's interests based on the new proposed method named user-oriented PageRank (UOPR).Experiments on real life datasets show that the user-oriented search system that adopts PLSA takes considerable consideration of user preferences and better satisfies a user's personalized information needs.关键词
面向用户的搜索/潜在搜索意图/概率潜在语义分析(PLSA)/用户模型/兴趣主题Key words
user-oriented search/underlying search intention/probabilistic latent semantic analysis (PLSA)/user profile/topics of interest分类
信息技术与安全科学引用本文复制引用
于芳,陈冬玲,王大玲,于戈,鲍玉斌..基于PLSA的面向用户的网络搜索[J].东南大学学报（英文版）,2007,23(3):347-351,5.基金项目
The National Natural Science Foundation of China (No.60573090,60673139). （No.60573090,60673139）
