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    SIGIR
    2009
    ACM
    155views Information Technology» more  SIGIR 2009»
    On social networks and collaborative recommendation
    14 years 2 months ago
    On social networks and collaborative recommendation
    Download  luci.ics.uci.edu
    Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
    Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
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    ICDM
    2006
    IEEE
    133views Data Mining» more  ICDM 2006»
    An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
    14 years 1 months ago
    An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
    Download  www.isys.ucl.ac.be
    This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
    François Fouss, Luh Yen, Alain Pirotte, Mar...
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    WEBI
    2005
    Springer
    145views Internet Technology» more  WEBI 2005»
    A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
    14 years 1 months ago
    A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
    Download  www.isys.ucl.ac.be
    This work presents a new perspective on characterizing the similarity between elements of a database or, more generally, nodes of a weighted, undirected, graph. It is based on a M...
    François Fouss, Alain Pirotte, Marco Saeren...
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    SAC
    2008
    ACM
    158views Applied Computing» more  SAC 2008»
    Tag-aware recommender systems by fusion of collaborative filtering algorithms
    13 years 7 months ago
    Tag-aware recommender systems by fusion of collaborative filtering algorithms
    Download  www.ismll.uni-hildesheim.de
    Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
    Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
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    KDD
    2005
    ACM
    218views Data Mining» more  KDD 2005»
    A maximum entropy web recommendation system: combining collaborative and content features
    14 years 8 months ago
    A maximum entropy web recommendation system: combining collaborative and content features
    Download  maya.cs.depaul.edu
    Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
    Xin Jin, Yanzan Zhou, Bamshad Mobasher
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