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    ECIR
    2003
    Springer
    93views Information Technology» more  ECIR 2003»
    Query-Based Document Skimming: A User-Centred Evaluation of Relevance Profiling
    13 years 9 months ago
    Query-Based Document Skimming: A User-Centred Evaluation of Relevance Profiling
    Download  www.math.bas.bg
    We present a user-centred, task-oriented, comparative evaluation of two query-based document skimming tools. ProfileSkim bases within-document retrieval on computing a relevance pr...
    David J. Harper, Ivan Koychev, Sun Yixing
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    ICWSM
    2009
    124views Internet Technology» more  ICWSM 2009»
    Content Based Recommendation and Summarization in the Blogosphere
    13 years 5 months ago
    Content Based Recommendation and Summarization in the Blogosphere
    Download  clair.si.umich.edu
    This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
    Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
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    WSDM
    2010
    ACM
    261views Data Mining» more  WSDM 2010»
    Learning Similarity Metrics for Event Identification in Social Media
    14 years 5 months ago
    Learning Similarity Metrics for Event Identification in Social Media
    Download  infolab.stanford.edu
    Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
    Hila Becker, Mor Naaman, Luis Gravano
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    DBA
    2004
    113views Database» more  DBA 2004»
    A Quality Measure for Distributed Clustering
    13 years 9 months ago
    A Quality Measure for Distributed Clustering
    Download  www.dbs.informatik.uni-muenchen.de
    Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
    Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
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    KDD
    2012
    ACM
    281views Data Mining» more  KDD 2012»
    Active spectral clustering via iterative uncertainty reduction
    11 years 10 months ago
    Active spectral clustering via iterative uncertainty reduction
    Download  www.cs.berkeley.edu
    Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
    Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
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