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Precision recall with user modeling (PRUM): Application to structured information retrieval

Published: 01 February 2007 Publication History

Abstract

Standard Information Retrieval (IR) metrics are not well suited for new paradigms like XML or Web IR in which retrievable information units are document elements and/or sets of related documents. Part of the problem stems from the classical hypotheses on the user models: They do not take into account the structural or logical context of document elements or the possibility of navigation between units. This article proposes an explicit and formal user model that encompasses a large variety of user behaviors. Based on this model, we extend the probabilistic precision-recall metric to deal with the new IR paradigms.

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    cover image ACM Transactions on Information Systems
    ACM Transactions on Information Systems  Volume 25, Issue 1
    February 2007
    153 pages
    ISSN:1046-8188
    EISSN:1558-2868
    DOI:10.1145/1198296
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 February 2007
    Published in TOIS Volume 25, Issue 1

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    Author Tags

    1. Evaluation
    2. Web
    3. XML
    4. information retrieval
    5. measure
    6. precision-recall

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    • (2017)Evaluation Metrics for Structured Text RetrievalEncyclopedia of Database Systems10.1007/978-1-4899-7993-3_152-2(1-12)Online publication date: 31-Jan-2017
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