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    WSDM
    2009
    ACM
    172views Data Mining» more  WSDM 2009»
    Clustering the tagged web
    14 years 3 months ago
    Clustering the tagged web
    Download  www.stanford.edu
    Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
    Daniel Ramage, Paul Heymann, Christopher D. Mannin...
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    WSDM
    2009
    ACM
    131views Data Mining» more  WSDM 2009»
    Diversifying search results
    14 years 3 months ago
    Diversifying search results
    Download  research.microsoft.com
    We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
    Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...
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    WSDM
    2009
    ACM
    113views Data Mining» more  WSDM 2009»
    Characterizing the influence of domain expertise on web search behavior
    14 years 3 months ago
    Characterizing the influence of domain expertise on web search behavior
    Download  research.microsoft.com
    Ryen W. White, Susan T. Dumais, Jaime Teevan
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    WSDM
    2009
    ACM
    112views Data Mining» more  WSDM 2009»
    Finding text reuse on the web
    14 years 3 months ago
    Finding text reuse on the web
    Download  www.wsdm2009.org
    With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
    Michael Bendersky, W. Bruce Croft
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    WSDM
    2009
    ACM
    125views Data Mining» more  WSDM 2009»
    Less is more: sampling the neighborhood graph makes SALSA better and faster
    14 years 3 months ago
    Less is more: sampling the neighborhood graph makes SALSA better and faster
    Download  wsdm2009.org
    In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
    Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
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    WSDM
    2009
    ACM
    187views Data Mining» more  WSDM 2009»
    Speeding up algorithms on compressed web graphs
    14 years 3 months ago
    Speeding up algorithms on compressed web graphs
    Download  wsdm2009.org
    A variety of lossless compression schemes have been proposed to reduce the storage requirements of web graphs. One successful approach is virtual node compression [7], in which of...
    Chinmay Karande, Kumar Chellapilla, Reid Andersen
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    WSDM
    2009
    ACM
    80views Data Mining» more  WSDM 2009»
    Classifying tags using open content resources
    14 years 3 months ago
    Classifying tags using open content resources
    Download  wsdm2009.org
    Simon E. Overell, Börkur Sigurbjörnsson,...
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    WSDM
    2009
    ACM
    76views Data Mining» more  WSDM 2009»
    Quality-aware collaborative question answering: methods and evaluation
    14 years 3 months ago
    Quality-aware collaborative question answering: methods and evaluation
    Download  wsdm2009.org
    Maggy Anastasia Suryanto, Ee-Peng Lim, Aixin Sun, ...
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    WSDM
    2009
    ACM
    176views Data Mining» more  WSDM 2009»
    The web changes everything: understanding the dynamics of web content
    14 years 3 months ago
    The web changes everything: understanding the dynamics of web content
    Download  turing.cs.washington.edu
    The Web is a dynamic, ever changing collection of information. This paper explores changes in Web content by analyzing a crawl of 55,000 Web pages, selected to represent different...
    Eytan Adar, Jaime Teevan, Susan T. Dumais, Jonatha...
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    WSDM
    2009
    ACM
    115views Data Mining» more  WSDM 2009»
    Discovering and using groups to improve personalized search
    14 years 3 months ago
    Discovering and using groups to improve personalized search
    Download  research.microsoft.com
    Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
    Jaime Teevan, Meredith Ringel Morris, Steve Bush
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