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Time-based query performance predictors

Published: 24 July 2011 Publication History

Abstract

Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study query performance prediction for a ranking model that explicitly incorporates the time dimension into ranking. Different time-based predictors are proposed as analogous to existing keyword-based predictors. In order to improve predicting performance, we combine different predictors using linear regression and neural networks. Extensive experiments are conducted using queries and relevance judgments obtained by crowdsourcing.

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  • (2015)Back to the PastProceedings of the Eighth ACM International Conference on Web Search and Data Mining10.1145/2684822.2685315(339-348)Online publication date: 2-Feb-2015

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  1. Time-based query performance predictors

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    Published In

    cover image ACM Conferences
    SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
    July 2011
    1374 pages
    ISBN:9781450307574
    DOI:10.1145/2009916

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 July 2011

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    Author Tags

    1. query performance prediction
    2. time-aware ranking

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

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    • (2015)Back to the PastProceedings of the Eighth ACM International Conference on Web Search and Data Mining10.1145/2684822.2685315(339-348)Online publication date: 2-Feb-2015

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