摘要
现有搜索引擎基本上采用"搜索适用所有用户"的模型,体现不出用户真正的兴趣所在。针对当前搜索引擎的不足,本文提出并研究一个基于用户反馈的个性化搜索引擎系统。通过学习用户满意度反馈信息,挖掘隐藏的用户兴趣信息,实现搜索引擎的个性化。
The existing majority of search engines have the shortcomings of providing the same results to the different users’retrieval requisition,failing to reflect the users’true interest. Aiming at the existing problems in current search engine systems, this paper is expected to propose and develop a personalized search engine based on user feedback. It is expected to generate interest of certain users and realize the personalization of search engine by learning user’s satisfaction feedback.
出处
《计算机与现代化》
2010年第6期116-118,121,共4页
Computer and Modernization
关键词
个性化
搜索引擎
用户反馈
用户兴趣
personalization
search engine
user feedback
user interest
