| Research on the User Interest Modeling of Personalized Search Engine |
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| 作者姓名： | LI Zhengwei XIA Shixiong NIU Qiang XIA Zhanguo |
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| 作者单位： | School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （50674086）, the Doctoral Foundation of Ministry of Education of China （20060290508） and the Youth Scientific Research Foundation of CUMT （0D060125） |
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| 摘 要： | At present, how to enable Search Engine to construct user personal interest model initially, master user＇s personalized information timely and provide personalized services accurately have become the hotspot in the research of Search Engine area. Aiming at the problems of user model＇s construction and combining techniques of manual customization modeling and automatic analytical modeling, a User Interest Model （UIM） is proposed in the paper. On the basis of it, the corresponding establishment and update algorithms of User lnterest Profile （UIP） are presented subsequently. Simulation tests proved that the UIM proposed and corresponding algorithms could enhance the retrieval precision effectively and have superior adaptability.
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| 关 键 词： | 互联网 搜索引擎 智能系统 代理 |
| 文章编号： | 1007-1202（2007）05-0893-04 |
| 收稿时间： | 6 January 2007 |
| 修稿时间： | 2007-01-06 |
Research on the User Interest Modeling of personalized Search Engine |
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| LI Zhengwei XIA Shixiong NIU Qiang XIA Zhanguo.Research on the User Interest Modeling of Personalized Search Engine[J].Wuhan University Journal of Natural Sciences,2007,12(5):893-896. |
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| Authors: | Li Zhengwei Xia Shixiong Niu Qiang Xia Zhanguo |
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| Institution: | (1) School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, 221008, Jiangsu, China |
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| Abstract: | At present, how to enable Search Engine to construct user personal interest model initially, master user’s personalized information
timely and provide personalized services accurately have become the hotspot in the research of Search Engine area. Aiming
at the problems of user model’s construction and combining techniques of manual customization modeling and automatic analytical
modeling, a User Interest Model (UIM) is proposed in the paper. On the basis of it, the corresponding establishment and update
algorithms of User Interest Profile (UIP) are presented subsequently. Simulation tests proved that the UIM proposed and corresponding
algorithms could enhance the retrieval precision effectively and have superior adaptability.
Biography: LI Zhengwei(1977–), male, Ph.D. candidate, research direction: personalized service and information retrieval. |
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| Keywords: | personalization Search Engine User Interest Model intellectual agent |
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