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Analysis of the query logs of a Web site search engine

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  • Michael Chau
  • Xiao Fang
  • Olivia R. Liu Sheng

Abstract

A large number of studies have investigated the transaction log of general‐purpose search engines such as Excite and AltaVista, but few studies have reported on the analysis of search logs for search engines that are limited to particular Web sites, namely, Web site search engines. In this article, we report our research on analyzing the search logs of the search engine of the Utah state government Web site. Our results show that some statistics, such as the number of search terms per query, of Web users are the same for general‐purpose search engines and Web site search engines, but others, such as the search topics and the terms used, are considerably different. Possible reasons for the differences include the focused domain of Web site search engines and users' different information needs. The findings are useful for Web site developers to improve the performance of their services provided on the Web and for researchers to conduct further research in this area. The analysis also can be applied in e‐government research by investigating how information should be delivered to users in government Web sites.

Suggested Citation

  • Michael Chau & Xiao Fang & Olivia R. Liu Sheng, 2005. "Analysis of the query logs of a Web site search engine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(13), pages 1363-1376, November.
    • Handle: RePEc:bla:jamist:v:56:y:2005:i:13:p:1363-1376
    DOI: 10.1002/asi.20210
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    Cited by:

    1. Donna, Javier D. & Schenone, Pablo & Veramendi, Gregory F., 2020. "Networks, frictions, and price dispersion," Games and Economic Behavior, Elsevier, vol. 124(C), pages 406-431.
    2. Donna, Javier & Schenone, Pablo & Veramendi, Gregory, 2016. "Frictions in internet auctions with many traders: A counterexample," Economics Letters, Elsevier, vol. 138(C), pages 81-84.

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