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    Diversity analysis of web search results

    Kingrani, S.K. and Levene, Mark and Zhang, Dell (2015) Diversity analysis of web search results. In: UNSPECIFIED (ed.) Proceedings of the ACM Web Science Conference on ZZZ - WebSci '15. New York, U.S.: Association for Computing Machinery. ISBN 9781450336727.

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    Abstract

    Are web search results usually dominated by major websites and therefore lacking diversity? In this paper, we aim to answer this question by quantitatively modelling the diversity of search results for popular queries using two diversity measures well-studied in ecology, namely Simpson's diversity index and Shannon's diversity index. Our theoretical analysis shows how the diversity of search results is determined by the Zipfian distribution of websites. Our empirical analysis reveals that comparing Google and Bing, the former is more diverse in the top-50 search results, while the latter is more diverse in the top-10 search results.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 25 Jul 2016 15:12
    Last Modified: 02 Dec 2016 13:23
    URI: http://eprints.bbk.ac.uk/id/eprint/15784

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