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Sogou Query Log Analysis: A Case Study for Collaborative Recommendation or Personalized IR

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5 Author(s)
Zhitao Zhang ; Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China ; Muyun Yang ; Sheng Li ; Haoliang Qi
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Through analyzing the search engine logs, we can better understand the law o users' search behavior, mining users' personality, so that improving the performances of web information retrieval. This paper analyzes the user, query, clickthrough data of Sogou, a large-scale Chinese search engine. We focus on the relation of user, query and URL, revealing some new characteristic of the Web user. The result shows that the portal websites are visited most frequently. The average user of Sogou clicks 4.82 URL, including 1.72 distinct URL. This paper demonstrates the necessity of personalized information retrieval, which is enlightening for improving the performance of Chinese search engine.

Published in:

Asian Language Processing, 2009. IALP '09. International Conference on

Date of Conference:

7-9 Dec. 2009