ScholarGate
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Process / pipelineInformation-seeking behavior / IR evaluation

Query Log Analysis

Query log analysis — also called transaction-log analysis — studies the records that search systems automatically keep of what users typed, what they clicked, and when. Rather than asking users what they do or testing systems in the laboratory, it observes millions of real searches as they actually happened. The landmark studies by Jansen, Spink, and Saracevic on the Excite engine and by Silverstein and colleagues on AltaVista revealed a consistent and surprising picture: real web queries are very short, rarely use advanced operators, and users almost never look past the first page of results. By cleaning logs, reconstructing sessions, and tabulating term, query, and session statistics, the method turns raw server records into a behavioral portrait of how people really search.

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출처

  1. Jansen, B. J., Spink, A., & Saracevic, T. (2000). Real life, real users, and real needs: a study and analysis of user queries on the web. Information Processing & Management, 36(2), 207-227. DOI: 10.1016/S0306-4573(99)00056-4
  2. Silverstein, C., Marais, H., Henzinger, M., & Moricz, M. (1999). Analysis of a very large web search engine query log. ACM SIGIR Forum, 33(1), 6-12. DOI: 10.1145/331403.331405
  3. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge University Press. ISBN: 9780521865715

이 페이지 인용 방법

ScholarGate. (2026, June 23). Query Log Analysis (Transaction-Log Study of Real Search Behavior). ScholarGate. https://scholargate.app/ko/library-information-science/query-log-analysis-lis

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이 방법을 참조하는 항목

ScholarGateQuery Log Analysis (Query Log Analysis (Transaction-Log Study of Real Search Behavior)). 2026-06-24에 다음에서 검색함: https://scholargate.app/ko/library-information-science/query-log-analysis-lis · 데이터셋: https://doi.org/10.5281/zenodo.20539026