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

Author

Zhang, Zhitao ; Yang, Muyun ; Li, Sheng ; Qi, Haoliang ; Song, Chao

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China

fYear

2009

fDate

7-9 Dec. 2009

Firstpage

304

Lastpage

307

Abstract

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.

Keywords

data mining; information filtering; search engines; Sogou query log analysis; collaborative recommendation; large-scale Chinese search engine; mining user personality; personalized information retrieval; search engine logs; user search behavior; web information retrieval; Chaos; Computer science; Frequency; Information analysis; Information retrieval; International collaboration; Large-scale systems; Performance analysis; Search engines; Uniform resource locators; Clickthrough; Query; Search engine; Search log; User;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Singapore

Print_ISBN

978-0-7695-3904-1

Type

conf

DOI

10.1109/IALP.2009.72

Filename

5380754