Query Suggestions for Textual Problem Solution Repositories

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    Textual problem-solution repositories are available today in
    various forms, most commonly as problem-solution pairs from community
    question answering systems. Modern search engines that operate on
    the web can suggest possible completions in real-time for users as they
    type in queries. We study the problem of generating intelligent query
    suggestions for users of customized search systems that enable querying
    over problem-solution repositories. Due to the small scale and specialized
    nature of such systems, we often do not have the luxury of depending on
    query logs for finding query suggestions. We propose a retrieval model
    for generating query suggestions for search on a set of problem solution
    pairs. We harness the problem solution partition inherent in such
    repositories to improve upon traditional query suggestion mechanisms
    designed for systems that search over general textual corpora. We evaluate
    our technique over real problem-solution datasets and illustrate that
    our technique provides large and statistically significant
    Original languageEnglish
    Title of host publicationAdvances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings.
    Pages569-581
    Number of pages13
    Publication statusPublished - 2013
    EventECIR 2013 - Russia, Moscow, Russian Federation
    Duration: 23 Mar 201327 Mar 2013

    Conference

    ConferenceECIR 2013
    CountryRussian Federation
    CityMoscow
    Period23/03/201327/03/2013

    ID: 17867716