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New Technology of Library and Information Service  2010, Vol. 26 Issue (4): 53-58    DOI: 10.11925/infotech.1003-3513.2010.04.09
article Current Issue | Archive | Adv Search |
The Study of User Behavior Learning Based Results Clustering Method
Xu Yang,Wang Wensheng,Xie Nengfu
(Institute of Agriculture Information, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
(Key Laboratory of Digital Agricultural Early-warning Technology Ministry of Agriculture of  the
People’s Republic of China, Beijing 100081, China)
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Abstract  

In order to improve the legibility of searching results in current meta-search engines, an intellective meta-search engine framework and a  results clustering method based on user behavior learning are set forth in a detailed description. Using this framework and method, the system can assemble the information of user behavior in real-time for reasoning and learning, accumulate the efficient knowledge into knowledge-base for the results cluster managing, adapt itself and be perfect continually as the users’ searching processes. The prototype system proves that the method is  feasible and efficacious.
Key words： Meta-search       User behavior learning       Results clustering     
Received: 04 March 2010      Published: 25 April 2010
: 

TP181

 		 
Corresponding Authors: Xu Yang     E-mail: xuy1202@163.com
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Cite this article:

Xu Yang,Wang Wensheng,Xie Nengfu. The Study of User Behavior Learning Based Results Clustering Method. New Technology of Library and Information Service, 2010, 26(4): 53-58.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.04.09     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I4/53

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