%0 Journal Article
%T User Profile Mining of Combining Web Behavior and Content Analysis<br>基于浏览行为和浏览内容的用户兴趣建模
%A Zhang Yulian Wang Quan
%A <br>张玉连
%A 王权
%J 现代图书情报技术
%D 2007
%I 
%X Facing massive information from Internet,this paper proposes a method that can acquire user interest profile and update user interest profile to realize the personalized information service based on user's interest as well as possible.This method does not need to provide explicitly the information user's interested in.It only needs the actions and contents when users visit and browse Web pages to obtain useful information,subsequently,using those information to establish and update user interest profile.This profile can describe user's interest type and interest degree well and enhance the personalized information service efficiency.
%K Personalization Search engine User profile<br>个性化
%K 搜索引擎
%K 用户兴趣
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=ECB8206CA6A2608D9F9F5EAC8973207F&yid=A732AF04DDA03BB3&vid=0B39A22176CE99FB&iid=B31275AF3241DB2D&sid=286FB2D22CF8D013&eid=E514EE58E0E50ECF&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=2&reference_num=6