Modeling User Knowledge from Queries: Introducing a Metric for Knowledge

Frans van der Sluis, Egon van den Broek

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    2 Citations (Scopus)
    143 Downloads (Pure)

    Abstract

    The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.
    Original languageUndefined
    Title of host publicationActive media technology
    Place of PublicationBerlin
    PublisherSpringer
    Pages395-402
    Number of pages8
    ISBN (Print)9783642154706
    DOIs
    Publication statusPublished - 28 Aug 2010
    Event6th International Conference on Active Media Technology, AMT 2010 - Toronto, Canada
    Duration: 28 Aug 201030 Aug 2010

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Number6335
    Volume6335
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference6th International Conference on Active Media Technology, AMT 2010
    Period28/08/1030/08/10
    OtherAugust 28-30, 2010

    Keywords

    • IR-75070
    • METIS-276165
    • Adaptive Information Retrieval
    • Knowledge Model
    • HMI-HF: Human Factors
    • Similarity Metric
    • EWI-18892
    • HMI-SLT: Speech and Language Technology
    • HMI-IE: Information Engineering
    • User Profile

    Cite this