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    A Data Analysis and Modelling Framework for the Evaluation of Interactive Information Retrieval


    Bierig, Ralf and Cole, Michael and Gwizdka, Jacek and Belkin, Nicholas J. (2010) A Data Analysis and Modelling Framework for the Evaluation of Interactive Information Retrieval. Advances in Information Retrieval, 5993. pp. 673-674. ISSN 0302-9743

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    Abstract

    Over the last two decades, Interactive Information Retrieval (IIR) has established a new direction within the long tradition of IR that introduces the user at its center and poses new challenges for system evaluation. IR systems can improve performance by utilizing information about the entire interactive process of search. This approach has so far only been initially explored [1,2] with much potential for the future. This demonstration describes an extensible data analysis and modelling framework that enables researchers to integrate, explore and analyze interactive experiment data obtained from task-based IIR experiments and build and test models of interactive user behavior.

    Item Type: Article
    Keywords: Data Analysis; Modelling Framework; Evaluation; Interactive Information Retrieval;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15225
    Identification Number: https://doi.org/10.1007/978-3-642-12275-0_76
    Depositing User: Ralf Bierig
    Date Deposited: 11 Jan 2022 15:49
    Journal or Publication Title: Advances in Information Retrieval
    Publisher: Springer
    Refereed: Yes
    URI:

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