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    SIGIR
    2005
    ACM
    144views Information Technology» more  SIGIR 2005»
    An industrial-strength content-based music recommendation system
    15 years 5 months ago
    An industrial-strength content-based music recommendation system
    Download  mtg.upf.edu
    We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentatio...
    Pedro Cano, Markus Koppenberger, Nicolas Wack
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    RECSYS
    2009
    ACM
    159views Control Systems» more  RECSYS 2009»
    Pairwise preference regression for cold-start recommendation
    15 years 6 months ago
    Pairwise preference regression for cold-start recommendation
    Download  www.gatsby.ucl.ac.uk
    Seung-Taek Park, Wei Chu
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    ICPPW
    2002
    IEEE
    168views Distributed And Parallel Com...» more  ICPPW 2002»
    Hebbian Algorithms for a Digital Library Recommendation System
    15 years 4 months ago
    Hebbian Algorithms for a Digital Library Recommendation System
    Download  pespmc1.vub.ac.be
    generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
    Francis Heylighen, Johan Bollen
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    FLAIRS
    2006
    96views Artificial Intelligence» more  FLAIRS 2006»
    Combining Visualization and Feedback for Eyewear Recommendation
    15 years 1 months ago
    Combining Visualization and Feedback for Eyewear Recommendation
    Download  www.aaai.org
    The importance of effective customer assistance technologies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices availab...
    John Doody, Edwin Costello, Lorraine McGinty, Barr...
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    ISMIS
    2005
    Springer
    113views Artificial Intelligence» more  ISMIS 2005»
    Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms
    15 years 5 months ago
    Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms
    Download  queens.db.toronto.edu
    Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...
    Manos Papagelis, Ioannis Rousidis, Dimitris Plexou...
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