BIROn - Birkbeck Institutional Research Online

    How to count thumb-ups and thumb-downs?

    Zhang, Dell and Mao, R. and Li, H. and Mao, J. (2011) How to count thumb-ups and thumb-downs? In: Ma, W.-Y. and Nie, J.-Y. and Baeza-Yates, R.A. and Chua, T.-S. and Croft, W.B. (eds.) Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11. New York, U.S.: ACM Press, pp. 1223-1224. ISBN 9781450307574.

    Full text not available from this repository.


    It is a common practice among Web 2.0 services to allow users to rate items on their sites. In this paper, we first point out the flaws of the popular methods for user-rating based ranking of items, and then argue that two well-known Information Retrieval (IR) techniques, namely the Probability Ranking Principle and Statistical Language Modelling, provide a simple but effective solution to this problem.


    Item Type: Book Section
    Additional Information: Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 30 May 2013 11:15
    Last Modified: 09 Aug 2023 12:33


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item