摘要
随着Internet的迅猛发展,个性化信息服务越来越成为信息检索领域的研究热点.本文针对用户兴趣模型构建问题,利用用户兴趣树描述用户兴趣,对用户个性化模型进行研究,并提出一种兴趣模型调整算法.模拟实验表明,该模型能有效提高信息检索的查准率.
With the rapid development of Intemet, the number of accessible web page has been exponential growth on the Internet. It has become increasingly difficult for users to find information satisfied with their individual needs. In this paper , a vector -based model was presented and described by a hierarchy tree, in which the user preferences （profiles） were defined. The constructed user profile could be used to adapt theuser＇ s query result to one＇ s need. Furthermore, an adjusting algorithm for user profile was presented. Simulation tests prove that the precision of the returned web pages is effectively improved.
出处
《重庆文理学院学报（自然科学版）》
2008年第5期1-3,共3页
Journal of Chongqing University of Arts and Sciences
基金
重庆文理学院项目资助金资助项目(Y2007SJ43)
关键词
用户兴趣模型
个性化搜索
信息检索
综合倒排索引
user profile
personalized search
information retrieval
synthetically inversed index
