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    A Bayesian approach to modelling users' information display preferences

    Grawemeyer, Beate and Cox, R. (2005) A Bayesian approach to modelling users' information display preferences. In: Ardissono, L. and Brna, P. and Mitrovic, A. (eds.) User Modeling 2005: 10th International Conference. Lecture Notes in Computer Science 3538. Springer, pp. 225-230. ISBN 9783540278856.

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    Abstract

    This paper describes the process by which we constructed a user model for ERST – an External Representation Selection Tutor – which recommends external representations (ERs) for particular database query task types based upon individual preferences, in order to enhance ER reasoning performance. The user model is based on experimental studies which examined the effect of background knowledge of ERs upon performance and preferences over different types of tasks.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 30 Mar 2021 11:29
    Last Modified: 30 Mar 2021 11:29
    URI: https://eprints.bbk.ac.uk/id/eprint/43741

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