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Learning to select a time-aware retrieval model

Published: 12 August 2012 Publication History

Abstract

Time-aware retrieval models exploit one of two time dimensions, namely, (a) publication time or (b) content time (temporal expressions mentioned in documents). We show that the effectiveness for a temporal query (e.g., illinois earthquake 1968) depends significantly on which time dimension is factored into ranking results. Motivated by this, we propose a machine learning approach to select the most suitable time-aware retrieval model for a given temporal query. Our method uses three classes of features obtained from analyzing distributions over two time dimensions, a distribution over terms, and retrieval scores within top-k result documents. Experiments on real-world data with crowdsourced relevance assessments show the potential of our approach.

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R. Jones and F. Diaz. Temporal profiles of queries. ACM Trans. Inf. Syst., 25, July 2007.
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N. Kanhabua and K. Nørvåg. Determining time of queries for re-ranking search results. In Proceedings of ECDL'2010, 2010.
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J. Peng, C. Macdonald, and I. Ounis. Learning to select a ranking function. In Proceedings of ECIR'2010, 2010.

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    cover image ACM Conferences
    SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
    August 2012
    1236 pages
    ISBN:9781450314725
    DOI:10.1145/2348283

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 August 2012

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    Author Tags

    1. temporal queries
    2. time-aware ranking prediction

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    • (2021)Content and link-structure perspective of ranking webpagesComputer Science Review10.1016/j.cosrev.2021.10039740:COnline publication date: 1-May-2021
    • (2016)What makes a query temporally sensitive?Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives through Information & Technology10.5555/3017447.3017494(1-9)Online publication date: 14-Oct-2016
    • (2016)What makes a query temporally sensitive?Proceedings of the Association for Information Science and Technology10.1002/pra2.2016.1450530104753:1(1-9)Online publication date: 27-Dec-2016
    • (2015)Mapping Temporal HorizonsProceedings of the 24th International Conference on World Wide Web10.1145/2736277.2741632(484-494)Online publication date: 18-May-2015

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