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    DSS
    2007
    96views more  DSS 2007»
    Factors relating to the decision to click on a sponsored link
    14 years 9 months ago
    Factors relating to the decision to click on a sponsored link
    Download  faculty.ist.psu.edu
    In this paper, we report results of an investigation into the factors influencing the selection of sponsored links by e-commerce Web searchers. In this research, 56 participants e...
    Bernard J. Jansen, Anna Brown, Marc Resnick
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    WWW
    2007
    ACM
    257views Internet Technology» more  WWW 2007»
    Modeling user behavior in recommender systems based on maximum entropy
    15 years 10 months ago
    Modeling user behavior in recommender systems based on maximum entropy
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    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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    DEXA
    2004
    Springer
    91views Database» more  DEXA 2004»
    Efficient Processing of Distributed Iceberg Semi-joins
    15 years 1 months ago
    Efficient Processing of Distributed Iceberg Semi-joins
    Download  cs.stanford.edu
    The Iceberg SemiJoin (ISJ) of two datasets R and S returns the tuples in R which join with at least k tuples of S. The ISJ operator is essential in many practical applications incl...
    Mohammed Kasim Imthiyaz, Dong Xiaoan, Panos Kalnis
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    KDD
    2009
    ACM
    191views Data Mining» more  KDD 2009»
    Efficient methods for topic model inference on streaming document collections
    15 years 10 months ago
    Efficient methods for topic model inference on streaming document collections
    Download  www.cs.umass.edu
    Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
    Limin Yao, David M. Mimno, Andrew McCallum
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    KDD
    2002
    ACM
    157views Data Mining» more  KDD 2002»
    Learning nonstationary models of normal network traffic for detecting novel attacks
    15 years 10 months ago
    Learning nonstationary models of normal network traffic for detecting novel attacks
    Download  www.lans.ece.utexas.edu
    Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
    Matthew V. Mahoney, Philip K. Chan
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