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Using log mining to analyze user behavior on search engine 被引量:1
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作者 Ke XIE Huijia YU rongwei cen 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2012年第2期254-260,共7页
Users' behavior analysis has become one of the most important research topics, especially in terms of performance optimization, architecture analysis, and system maintenance, due to the rapid growth of search engine ... Users' behavior analysis has become one of the most important research topics, especially in terms of performance optimization, architecture analysis, and system maintenance, due to the rapid growth of search engine users. By adequately performing analysis on log data, researchers and Internet companies can get guidance to better search engines. In this paper, we perform our analysis based on approximately 750million entries of search requests obtained from log of a real commercial search engine. Several aspects of users' behavior are studied, including query length, ratio of query refining, recommendation access, and so on. Different information needs may lead to different behaviors, and we address this discussion in this paper. We firmly believe that these analyses would be helpful with respect of improving both effectiveness and efficiency of search engines. 展开更多
关键词 user behavior analysis search engine webinformation retrieval
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