Evaluating search result diversity using intent hierarchies

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

    研究成果: Conference contribution

    19 被引用数 (Scopus)

    抄録

    Search result diversification aims at returning diversified document lists to cover different user intents for ambiguous or broad queries. Existing diversity measures assume that user intents are independent or exclusive, and do not consider the relationships among the intents. In this paper, we introduce intent hierarchies to model the relationships among intents. Based on intent hierarchies, we propose several hierarchical measures that can consider the relationships among intents. We demonstrate the feasibility of hierarchical measures by using a new test collection based on TREC Web Track 2009-2013 diversity test collections. Our main experimental findings are: (1) Hierarchical measures are generally more discriminative and intuitive than existing measures using flat lists of intents; (2) When the queries have multilayer intent hierarchies, hierarchical measures are less correlated to existing measures, but can get more improvement in discriminative power; (3) Hierarchical measures are more intuitive in terms of diversity or relevance. The hierarchical measures using the whole intent hierarchies are more intuitive than only using the leaf nodes in terms of diversity and relevance.

    本文言語English
    ホスト出版物のタイトルSIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
    出版社Association for Computing Machinery, Inc
    ページ415-424
    ページ数10
    ISBN(電子版)9781450342902
    DOI
    出版ステータスPublished - 2016 7 7
    イベント39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016 - Pisa, Italy
    継続期間: 2016 7 172016 7 21

    Other

    Other39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016
    CountryItaly
    CityPisa
    Period16/7/1716/7/21

    ASJC Scopus subject areas

    • Information Systems
    • Software

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