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    INFOCOM
    2009
    IEEE
    184views Communications» more  INFOCOM 2009»
    Keep Cache Replacement Simple in Peer-Assisted VoD Systems
    15 years 4 months ago
    Keep Cache Replacement Simple in Peer-Assisted VoD Systems
    Download  www.eecg.toronto.edu
    —Peer-assisted Video-on-Demand (VoD) systems have not only received substantial recent research attention, but also been implemented and deployed with success in large-scale real...
    Jiahua Wu, Baochun Li
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    QEST
    2008
    IEEE
    145views Modeling and Simulation» more  QEST 2008»
    Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
    15 years 4 months ago
    Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
    Download  www.era.lib.ed.ac.uk
    We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
    Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...
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    KDD
    2004
    ACM
    116views Data Mining» more  KDD 2004»
    A system for automated mapping of bill-of-materials part numbers
    15 years 3 months ago
    A system for automated mapping of bill-of-materials part numbers
    Download  www.cs.uiuc.edu
    Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
    Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
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    KDD
    2007
    ACM
    191views Data Mining» more  KDD 2007»
    Modeling relationships at multiple scales to improve accuracy of large recommender systems
    15 years 10 months ago
    Modeling relationships at multiple scales to improve accuracy of large recommender systems
    Download  public.research.att.com
    The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
    Robert M. Bell, Yehuda Koren, Chris Volinsky
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    KDD
    2005
    ACM
    218views Data Mining» more  KDD 2005»
    A maximum entropy web recommendation system: combining collaborative and content features
    15 years 10 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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