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Mining web multi-resolution community-based popularity for information retrieval

Published: 06 November 2007 Publication History

Abstract

The PageRank algorithm is used in Web information retrieval to calculate a single list of popularity scores for each page in the Web. These popularity scores are used to rank query results when presented to the user. By using the structure of the entire Web to calculate one score per document, we are calculating a general popularity score, not particular to any community. Therefore, the PageRank scores are more suited to general queries. In this paper, we introduce a more general form of PageRank, using Web multi-resolution community-based popularity scores, where each document obtains a popularity score dependent on a given Web community. When a query is related to a specific community, we choose the associated set of popularity scores and order the query results accordingly. Using Web-community based popularity scores, we achieved an 11% increase in precision over PageRank.

References

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S. Brin and L. Page. The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30(1-7):107--117, April 1998.
[2]
C. Ding, X. He, and H. D. Simon. On the equivalence of nonnegative matrix factorization and spectral clustering. In Proc. SIAM Int'l Conf. Data Mining (SDM'05), pages 606--610, April 2005.
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T. H. Haveliwala. Topic-sensitive pagerank. In WWW '02: Proceedings of the 11th international conference on World Wide Web, pages 517--526, New York, NY, USA, 2002. ACM Press.
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G. Jeh and J. Widom. Scaling personalized web search. In WWW '03: Proceedings of the 12th international conference on World Wide Web, pages 271--279, New York, NY, USA, 2003. ACM Press.
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J. M. Kleinberg. Authoritative sources in a hyperlinked environment. J. ACM, 46(5):604--632, 1999.
[6]
L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.

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  1. Mining web multi-resolution community-based popularity for information retrieval

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    cover image ACM Conferences
    CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
    November 2007
    1048 pages
    ISBN:9781595938039
    DOI:10.1145/1321440
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 06 November 2007

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    Author Tags

    1. pagerank
    2. symmetric non-negative matrix factorisation

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    • (2011)Multiresolution Web Link Analysis Using Generalized Link RelationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2011.10723:11(1691-1703)Online publication date: 1-Nov-2011
    • (2010)Ranking tournamentsACM Journal of Experimental Algorithmics10.1145/1498698.153760114(2.6-2.22)Online publication date: 5-Jan-2010

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