What makes a query temporally sensitive?

Craig Willis, Garrick Sherman, Miles James Efron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work takes an in-depth look at the factors that affect manual classifications of "temporally sensitive" information needs. We use qualitative and quantitative techniques to analyze 660 topics from the Text Retrieval Conference (TREC) previously used in the experimental evaluation of temporal retrieval models. Regression analysis is used to identify factors in previous manual classifications. We explore potential problems with the previous classifications, considering principles and guidelines for future work on temporal retrieval models.

Original languageEnglish (US)
Title of host publicationSIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages1065-1068
Number of pages4
ISBN (Electronic)9781450342902
DOIs
StatePublished - Jul 7 2016
Event39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016 - Pisa, Italy
Duration: Jul 17 2016Jul 21 2016

Publication series

NameSIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016
CountryItaly
CityPisa
Period7/17/167/21/16

ASJC Scopus subject areas

  • Information Systems
  • Software

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  • Cite this

    Willis, C., Sherman, G., & Efron, M. J. (2016). What makes a query temporally sensitive? In SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1065-1068). (SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/2911451.2914703