NDLI: Query Expansion Based on a Personalized Web Search Model

Content Provider	IEEE Xplore Digital Library
Author	Zhengyu Zhu Jingqiu Xu Xiang Ren Yunyan Tian Lipei Li
Copyright Year	2007
Description	Author affiliation: Chongqing Univ., Chongqing (Zhengyu Zhu; Jingqiu Xu; Xiang Ren; Yunyan Tian; Lipei Li)
Abstract	A novel query expansion algorithm is proposed in this paper. It is based on a model of personalized web search system. 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, more personalized expansion words are generated by the proposed algorithm, and then these words together with the query keywords are submitted to a popular search engine such as Baidu or Google. These expansion words can help a search engine retrieval information for a user according to his/her implicit search intentions. The new Web search model can make a common search engine personalized, that is, throughout personalized query expansion the search engine can return different search results to different users who input the same keywords. The experimental results show the effect and applicability of the presented work for personalized information service of a search engine.
Starting Page	128
Ending Page	133
File Size	263187
Page Count	6
File Format	PDF
ISBN	0769530079
DOI	10.1109/SKG.2007.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Motorcycles Service oriented architecture Search engines Information retrieval Educational institutions Internet Marine vehicles Middleware Web search
Content Type	Text
Resource Type	Article

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