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Use of temporal expressions in web search

Published: 30 March 2008 Publication History
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  • Abstract

    While trying to understand and characterize users' behavior online, the temporal dimension has received little attention by the research community. This exploratory study uses two collections of web search queries to investigate the use of temporal information needs. Using state-of-the-art information extraction techniques we identify temporal expressions in these queries. We find that temporal expressions are rarely used (1.5% of queries) and, when used, they are related to current and past events. Also, there are specific topics where the use of temporal expressions is more visible.

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    Cited By

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    • (2021)Event-Driven Query ExpansionProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441833(391-399)Online publication date: 8-Mar-2021
    • (2018)Understanding User's Search Behavior towards Spiky EventsCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191638(1763-1769)Online publication date: 23-Apr-2018
    • (2018)Understanding the use of Temporal Expressions on Persian Web SearchCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191635(1743-1748)Online publication date: 23-Apr-2018
    • Show More Cited By
    1. Use of temporal expressions in web search

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      Published In

      cover image ACM Other conferences
      ECIR'08: Proceedings of the IR research, 30th European conference on Advances in information retrieval
      March 2008
      718 pages
      ISBN:3540786457
      • Editors:
      • Craig Macdonald,
      • Iadh Ounis,
      • Vassilis Plachouras,
      • Ian Ruthven,
      • Ryen W. White

      Sponsors

      • Yahoo! Research
      • Google Inc.
      • Microsoft Research: Microsoft Research
      • Matrixware Information Services

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      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      Published: 30 March 2008

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      View all
      • (2021)Event-Driven Query ExpansionProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441833(391-399)Online publication date: 8-Mar-2021
      • (2018)Understanding User's Search Behavior towards Spiky EventsCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191638(1763-1769)Online publication date: 23-Apr-2018
      • (2018)Understanding the use of Temporal Expressions on Persian Web SearchCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191635(1743-1748)Online publication date: 23-Apr-2018
      • (2018)Characterising Dataset Search QueriesCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191597(1485-1488)Online publication date: 23-Apr-2018
      • (2017)Detecting temporal patterns of user queriesJournal of the Association for Information Science and Technology10.1002/asi.2357868:1(113-128)Online publication date: 1-Jan-2017
      • (2016)When time meets information retrievalJournal of Information Science10.1177/016555151560727742:6(725-747)Online publication date: 1-Dec-2016
      • (2016)EventMinerProceedings of the 2016 ACM International Conference on the Theory of Information Retrieval10.1145/2970398.2970411(261-270)Online publication date: 12-Sep-2016
      • (2016)Temporal Information RetrievalProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2914805(1235-1238)Online publication date: 7-Jul-2016
      • (2016)Temporal Query Intent Disambiguation using Time-Series DataProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2914767(1017-1020)Online publication date: 7-Jul-2016
      • (2016)Building Test Collections for Evaluating Temporal IRProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2914673(677-680)Online publication date: 7-Jul-2016
      • Show More Cited By

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