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RESEARCH ON PERSONALIZED INFORMATION FILTERING OF SEARCH ENGINE

文献类型： 外文期刊

作者： Zhang, Shu 1 ; Chen, Xinrong 1 ; Luo, Changshou 2 ;

作者机构： 1.China Agr Univ, Dept Comp Sci, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing 100089, Peoples R China

关键词： information filtering;user interest-model;personalized searching;vector space model

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2

ISSN： 1571-5736

年卷期： 2009 年 295 卷

页码：

收录情况： SCI

摘要： Since network has been created and developing rapidly in recent years, the age of information exploding is coming. The Search Engine becomes more and more important for people, but the traditional search engine retrieves and provides information just according to the keywords that users input. How to recommend the right information to users has become the hot point. The technology of personalized information filtering brings people hope The paper I present analyzed the achievements of those filtering technologies and adopted user-system complex-operating modeling to build User-activity-collecting module, User-interest-updating module and User-searching module, in order to meet theme-oriented searching's needs. Experiments showed that the user-interest model can provide personalized service and enhance search engine's precision.

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[2]Research and Implementation of Agricultural Science and Technology Consulting System Based on Ajax and Improved VSM. Sufen Sun,Junfeng Zhang,Changshou Luo,Qingfeng Wei. 2011

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