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DOI: https://doi.org/10.1007/s11460-011-0177-4

RESEARCH ARTICLE

Using log mining to analyze user behavior on search engine

  • Ke XIE ,
  • Huijia YU ,
  • Rongwei CEN
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  • State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

Received date: 28 Apr 2011

Accepted date: 12 Oct 2011

Published date: 05 Jun 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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Abstract

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 750 million 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.

Key words： user behavior analysis; search engine; web information retrieval

Cite this article

Ke XIE , Huijia YU , Rongwei CEN . Using log mining to analyze user behavior on search engine[J]. Frontiers of Electrical and Electronic Engineering, 0 , 7(2) : 254 -260 . DOI: 10.1007/s11460-011-0177-4

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