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    SIGIR
    2005
    ACM
    144views Information Technology» more  SIGIR 2005»
    An industrial-strength content-based music recommendation system
    14 years 3 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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    IADIS
    2008
    166views Internet Technology» more  IADIS 2008»
    Design of Physical Activity Recommendation System
    13 years 11 months ago
    Design of Physical Activity Recommendation System
    Download  www.iadis.net
    Leisure-time physical activity (LTPA) has been shown to be an effective way of preventing diseases. However 50% of the people who start any type of sports or LTPA drop out of the ...
    Ashkan Sami, Ryoichi Nagatomi, Masahiro Terabe, Ka...
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    ICWE
    2010
    Springer
    271views Internet Technology» more  ICWE 2010»
    Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications
    13 years 8 months ago
    Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications
    Download  gplsi.dlsi.ua.es
    Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
    Daniel Mican, Nicolae Tomai
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    KDD
    2007
    ACM
    244views Data Mining» more  KDD 2007»
    A Recommender System Based on Local Random Walks and Spectral Methods
    14 years 10 months ago
    A Recommender System Based on Local Random Walks and Spectral Methods
    Download  workshops.socialnetworkanalysis.info
    In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
    Zeinab Abbassi, Vahab S. Mirrokni
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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 9 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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