Using Complexity Measures in Information Retrieval

Frans van der Sluis, Egon van den Broek

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
    43 Downloads (Pure)


    Although Information Retrieval (IR) is meant to serve its users, surprisingly little IR research is not user-centered. In contrast, this article utilizes the concept complexity of information as the determinant of the user's comprehension, not as a formal golden measure. Four aspects of user's comprehension are applied on a database of simple and normal Wikipedia articles and found to distinguish between them. The results underline the feasibility of the principle of parsimony for IR: where two topical articles are available, the simpler one is preferred.
    Original languageUndefined
    Title of host publicationProceedings of the Third Symposium on Information Interaction in Context, IIiX '10
    EditorsN.J. Belkin, D. Kelly
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages6
    ISBN (Print)978-1-4503-0247-0
    Publication statusPublished - 18 Aug 2010
    Event3rd Symposium on Information Interaction in Context, IIiX 2010 - New Brunswick, United States
    Duration: 18 Aug 201021 Aug 2010
    Conference number: 3

    Publication series



    Other3rd Symposium on Information Interaction in Context, IIiX 2010
    Abbreviated titleIIiX 2010
    CountryUnited States
    CityNew Brunswick


    • IR-75069
    • METIS-275719
    • Comprehension
    • Complexity Measures
    • Parsimony
    • Relevance
    • CR-H.1.2
    • HMI-SLT: Speech and Language Technology
    • HMI-IE: Information Engineering
    • HMI-HF: Human Factors
    • CR-H.3.1
    • CR-H.3.3
    • CR-H.1.1
    • EWI-18891

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