A Novel Personalized Web Search Model
A Novel Personalized Web Search Model作者机构：College of Computer Science Chongqing University Chongqing 400044 China
出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)
年 卷 期：2007年第12卷第5期
页 面：897-901页
学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Supported by the Specialized Research Foundation for the Doctoral Program of Higher Education of China (20030611016) the Project of Chongqing University Fund for Key Teachers (2003A33)
主 题：search engine personalization term-term association retrieval effectiveness
摘 要：A novel personalized Web search model is proposed. The new system, as a middleware between a user and a Web search engine, is set up on the client machine. It can learn a user＇s preference implicitly and then generate the user profile automatically. When the user inputs query keywords, the system can automatically generate a few personalized expansion words by computing the term-term associations according to the current user profile, and then these words together with the query keywords are submitted to a popular search engine such as Yahoo or Google. These expansion words help to express accurately the user＇s search intention. The new Web search model can make a common search engine personalized, that is, the search engine can return different search results to different users who input the same keywords. The experimental results show the feasibility and applicability of the presented work.
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