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.
방법 전문 읽기
무료 계정으로 로그인하면 이 섹션을 읽을 수 있습니다.
방법 지도
관련 방법들로 이루어진 인접 영역 — 노드를 선택해 살펴보세요.
출처
- 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 ↗
- 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 ↗
- 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
어떤 방법일까요?
이 방법을 가장 가까운 동류의 방법들과 나란히 놓고 비교해 보세요 — 라이브러리는 책을 펼쳐 놓을 뿐, 선택은 여러분의 몫입니다.
- Indexing Consistency AnalysisLibrary Information Science↔ 비교
- Known-Item Search SuccessLibrary Information Science↔ 비교
- Search Session AnalysisLibrary Information Science↔ 비교