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    KDD
    2010
    ACM
    286views Data Mining» more  KDD 2010»
    Nonnegative shared subspace learning and its application to social media retrieval
    13 years 6 months ago
    Nonnegative shared subspace learning and its application to social media retrieval
    Download  www.computing.edu.au
    Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
    Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
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    KDD
    2007
    ACM
    192views Data Mining» more  KDD 2007»
    Active exploration for learning rankings from clickthrough data
    14 years 8 months ago
    Active exploration for learning rankings from clickthrough data
    Download  radlinski.org
    We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
    Filip Radlinski, Thorsten Joachims
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    KDD
    2005
    ACM
    177views Data Mining» more  KDD 2005»
    Query chains: learning to rank from implicit feedback
    14 years 8 months ago
    Query chains: learning to rank from implicit feedback
    Download  www.cs.cornell.edu
    This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
    Filip Radlinski, Thorsten Joachims
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    ICDM
    2010
    IEEE
    226views Data Mining» more  ICDM 2010»
    Edge Weight Regularization over Multiple Graphs for Similarity Learning
    13 years 5 months ago
    Edge Weight Regularization over Multiple Graphs for Similarity Learning
    Download  clair.si.umich.edu
    The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
    Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
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    ICDM
    2006
    IEEE
    164views Data Mining» more  ICDM 2006»
    Unsupervised Learning of Tree Alignment Models for Information Extraction
    14 years 1 months ago
    Unsupervised Learning of Tree Alignment Models for Information Extraction
    Download  users.soe.ucsc.edu
    We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
    Philip Zigoris, Damian Eads, Yi Zhang
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