ScholarGate
助手
Process / pipelineInformation-seeking behavior / IR evaluation

Search Session Analysis

Search session analysis studies the whole search episode — the sequence of queries, reformulations, clicks, and pauses a user produces while pursuing a single information need — rather than scoring one query in isolation. Real searching is rarely one shot: users issue a query, scan results, refine their wording, follow links, and try again until they succeed or give up. Building on the transaction-log tradition of Jansen, Spink, and Saracevic and the large-scale web studies of Silverstein and colleagues, session analysis reconstructs these episodes from logs, classifies how queries evolve, measures the effort expended, models the transitions between actions, and assesses whether and how the session succeeded. It is the bridge between single-query laboratory evaluation and the messy, iterative reality of how people actually find information.

在 MethodMind 中打开即将推出应用、比较、获取指导
工具与资源
下载幻灯片
学习与探索
视频即将推出

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

方法图谱

相关方法的邻域——选择一个节点以展开探索。

来源

  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

如何引用本页

ScholarGate. (2026, June 23). Search Session Analysis (Modeling Multi-Query Search Episodes). ScholarGate. https://scholargate.app/zh/library-information-science/search-session-analysis

选用哪种方法?

将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。

并排比较

被引用于

ScholarGateSearch Session Analysis (Search Session Analysis (Modeling Multi-Query Search Episodes)). 于 2026-06-24 检索自 https://scholargate.app/zh/library-information-science/search-session-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026