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    ATAL
    2007
    Springer
    118views Intelligent Agents» more  ATAL 2007»
    An agent-based approach for privacy-preserving recommender systems
    14 years 1 months ago
    An agent-based approach for privacy-preserving recommender systems
    Download  www.aamas-conference.org
    Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
    Richard Cissée, Sahin Albayrak
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    NOMS
    2008
    IEEE
    139views Communications» more  NOMS 2008»
    Fast similarity search in peer-to-peer networks
    14 years 2 months ago
    Fast similarity search in peer-to-peer networks
    Download  fastss.csg.uzh.ch
    Abstract—Peer-to-peer (P2P) systems show numerous advantages over centralized systems, such as load balancing, scalability, and fault tolerance, and they require certain function...
    Thomas Bocek, Ela Hunt, David Hausheer, Burkhard S...
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    WWW
    2011
    ACM
    219views Internet Technology» more  WWW 2011»
    Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades
    13 years 2 months ago
    Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades
    Download  www.cl.cam.ac.uk
    Providers such as YouTube offer easy access to multimedia content to millions, generating high bandwidth and storage demand on the Content Delivery Networks they rely upon. More ...
    Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...
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    KDD
    2009
    ACM
    178views Data Mining» more  KDD 2009»
    Catching the drift: learning broad matches from clickthrough data
    14 years 8 months ago
    Catching the drift: learning broad matches from clickthrough data
    Download  research.microsoft.com
    Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
    Sonal Gupta, Mikhail Bilenko, Matthew Richardson
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    WWW
    2007
    ACM
    257views Internet Technology» more  WWW 2007»
    Modeling user behavior in recommender systems based on maximum entropy
    14 years 8 months ago
    Modeling user behavior in recommender systems based on maximum entropy
    Download  www2007.org
    We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
    Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
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