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    KDD
    2006
    ACM
    170views Data Mining» more  KDD 2006»
    Classification features for attack detection in collaborative recommender systems
    14 years 8 months ago
    Classification features for attack detection in collaborative recommender systems
    Download  maya.cs.depaul.edu
    Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
    Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
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    KDD
    2008
    ACM
    128views Data Mining» more  KDD 2008»
    Bypass rates: reducing query abandonment using negative inferences
    14 years 8 months ago
    Bypass rates: reducing query abandonment using negative inferences
    Download  research.microsoft.com
    We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
    Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
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    KDD
    2012
    ACM
    217views Data Mining» more  KDD 2012»
    Cross-domain collaboration recommendation
    11 years 10 months ago
    Cross-domain collaboration recommendation
    Download  keg.cs.tsinghua.edu.cn
    Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
    Jie Tang, Sen Wu, Jimeng Sun, Hang Su
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    KDD
    2009
    ACM
    164views Data Mining» more  KDD 2009»
    Social influence analysis in large-scale networks
    14 years 8 months ago
    Social influence analysis in large-scale networks
    Download  keg.cs.tsinghua.edu.cn
    In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
    Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
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    SIGMOD
    2009
    ACM
    171views Database» more  SIGMOD 2009»
    GAMPS: compressing multi sensor data by grouping and amplitude scaling
    14 years 7 months ago
    GAMPS: compressing multi sensor data by grouping and amplitude scaling
    Download  research.microsoft.com
    We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
    Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
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