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    KDD
    2009
    ACM
    305views Data Mining» more  KDD 2009»
    Grocery shopping recommendations based on basket-sensitive random walk
    14 years 9 months ago
    Grocery shopping recommendations based on basket-sensitive random walk
    Download  www-ai.cs.uni-dortmund.de
    We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
    Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
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    KDD
    2008
    ACM
    142views Data Mining» more  KDD 2008»
    Efficient ticket routing by resolution sequence mining
    14 years 9 months ago
    Efficient ticket routing by resolution sequence mining
    Download  www.public.asu.edu
    IT problem management calls for quick identification of resolvers to reported problems. The efficiency of this process highly depends on ticket routing--transferring problem ticke...
    Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos A...
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    KDD
    2008
    ACM
    259views Data Mining» more  KDD 2008»
    Using ghost edges for classification in sparsely labeled networks
    14 years 9 months ago
    Using ghost edges for classification in sparsely labeled networks
    Download  reality.media.mit.edu
    We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
    Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
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    KDD
    2007
    ACM
    197views Data Mining» more  KDD 2007»
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    14 years 9 months ago
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    Download  www.public.asu.edu
    The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
    Jieping Ye, Shuiwang Ji, Jianhui Chen
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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
    14 years 9 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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