Search result diversification based on hierarchical intents

Sha Hu, Zhicheng Dou, Xiaojie Wang, Tetsuya Sakai, Ji Rong Wen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    37 Citations (Scopus)

    Abstract

    A large percentage of queries issued to search engines are broad or ambiguous. Search result diversification aims to solve this problem, by returning diverse results that can fulfill as many different information needs as possible. Most existing intent-aware search result diversification algorithms formulate user intents for a query as a flat list of subtopics. In this paper, we introduce a new hierarchical structure to represent user intents and propose two general hierarchical diversification models to leverage hierarchical intents. Experimental results show that our hierarchical diversification models outperform state-of-the-art diversification methods that use traditional flat subtopics.

    Original languageEnglish
    Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
    PublisherAssociation for Computing Machinery
    Pages63-72
    Number of pages10
    Volume19-23-Oct-2015
    ISBN (Print)9781450337946
    DOIs
    Publication statusPublished - 2015 Oct 17
    Event24th ACM International Conference on Information and Knowledge Management, CIKM 2015 - Melbourne, Australia
    Duration: 2015 Oct 192015 Oct 23

    Other

    Other24th ACM International Conference on Information and Knowledge Management, CIKM 2015
    CountryAustralia
    CityMelbourne
    Period15/10/1915/10/23

    Keywords

    • Hierarchical diversification
    • Hierarchical intents
    • Search result diversification

    ASJC Scopus subject areas

    • Business, Management and Accounting(all)
    • Decision Sciences(all)

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  • Cite this

    Hu, S., Dou, Z., Wang, X., Sakai, T., & Wen, J. R. (2015). Search result diversification based on hierarchical intents. In International Conference on Information and Knowledge Management, Proceedings (Vol. 19-23-Oct-2015, pp. 63-72). Association for Computing Machinery. https://doi.org/10.1145/2806416.2806455