Using contextual information to understand searching and browsing behavior

J. Kiseleva

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

    5 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    There is great imbalance in the richness of information on the web and the succinctness and poverty of search requests of web users, making their queries only a partial description of the underlying complex information needs. Finding ways to better leverage contextual information and make search context-aware holds the promise to dramatically improve the search experience of users. We conducted a series of studies to discover, model and utilize contextual information in order to understand and improve users' searching and browsing behavior on the web. Our results capture important aspects of context under the realistic conditions of different online search services, aiming to ensure that our scientific insights and solutions transfer to the operational settings of real world applications.
    Original languageEnglish
    Title of host publication38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'15, Santiago, Chile, August 9-13, 2015)
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery, Inc
    Pages1059-1059
    ISBN (Print)78-1-4503-3621-5
    DOIs
    Publication statusPublished - 2015

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