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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 584-587

Personalized Intelligent Search Engine Based on Web Data Mining

        Hong Zhang, Yanhong Ma, Qiuyu Zhang, Pengshou Xie, and Zhongxian Bao

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A personalized intelligent search engine based on web data mining, whose theory model is established, is introduced and discussed and in this paper. And its critical part, algorithm and program of mining users’ interests, is described detailed. By creating users’ interest database, this system will realize personalized information retrieval which can search information according to users requests. So the recall and precision ratio of search engine is enhanced essentially.

Index Terms

data mining, personalize, users interests, users pattern, search engine

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