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Finding web appearances of social network users via latent factor model

Published: 12 August 2012 Publication History
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  • Abstract

    With the rapid growing of Web 2.0, people spend more time on social networks such as Facebook and Twitter. In order to know the people they are interacting with, finding the web appearances of them will help the social network users to a great extent. We propose a novel and effective latent factor model to find web appearances of target social network users. Our method solves the name ambiguity problem by simultaneously exploring the link structure of social networks and the web. Experiments on real-world data show the superiority of our method over several baselines.

    References

    [1]
    R. Bekkerman and A. McCallum. Disambiguating web appearances of people in a social network. In WWW, pages 463 -- 470, 2005.
    [2]
    R. V. Guha and A. Garg. Disambiguating people in search. In WWW, 2004.
    [3]
    X. Han and J. Zhao. Structural semantic relatedness: a knowledge-based method to named entity disambiguation. In ACL, pages 50--59, 2010.
    [4]
    D. Kalashnikov, R. Nuray-Turan, and S. Mehrotra. Towards breaking the quality curse.: a web-querying approach to web people search. In SIGIR. ACM, 2008.
    [5]
    J. Tang, Q. Lu, T. Wang, J. Wang, and W. Li. A bipartite graph based social network splicing method for person name disambiguation. In SIGIR, 2011.
    [6]
    M. Yoshida, M. Ikeda, S. Ono, I. Sato, and H. Nakagawa. Person name disambiguation by bootstrapping. In SIGIR, pages 10--17. ACM, 2010.

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    1. Finding web appearances of social network users via latent factor model

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      cover image ACM Conferences
      SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
      August 2012
      1236 pages
      ISBN:9781450314725
      DOI:10.1145/2348283

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 August 2012

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      Author Tags

      1. latent factor model
      2. name disambiguation
      3. social network

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