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New Technology of Library and Information Service  2012, Vol. 28 Issue (1): 58-62    DOI: 10.11925/infotech.1003-3513.2012.01.10
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Query Semantic Relation Mining from Web Log and Its Application
Duan Jianyong, Xu Jichao, Zhang Mei
College of Information Engineering, North China University of Technology, Beijing 100144, China
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Abstract  By mining semantic relation between Web log query terms, this paper puts the HowNet semantic knowledge into clustering algorithm to achieve search engine optimization.In order to understand user needs better, the method uses machine learning algorithms to analyze query log deeply,and puts query items into the depth of analysis.The paper makes the back page more reasonable and presents more accurate Web results to the users.
Key wordsWeb log      Optimization algorithm      Web mining     
Received: 28 November 2011      Published: 26 February 2012
: 

TP391

 

Cite this article:

Duan Jianyong, Xu Jichao, Zhang Mei. Query Semantic Relation Mining from Web Log and Its Application. New Technology of Library and Information Service, 2012, 28(1): 58-62.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.01.10     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V28/I1/58

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