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    JCP
    2006
    117views more  JCP 2006»
    Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
    13 years 4 months ago
    Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
    Download  www.ismll.uni-hildesheim.de
    As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
    Karen H. L. Tso, Lars Schmidt-Thieme
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    GFKL
    2007
    Springer
    196views Data Mining» more  GFKL 2007»
    Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
    13 years 10 months ago
    Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
    Download  www.ismll.uni-hildesheim.de
    Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
    Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
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    IIR
    2010
    201views Information Technology» more  IIR 2010»
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    13 years 5 months ago
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    Download  sunsite.informatik.rwth-aachen.de
    Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
    Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
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    AAAI
    2006
    145views Intelligent Agents» more  AAAI 2006»
    Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
    13 years 5 months ago
    Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
    Download  maya.cs.depaul.edu
    The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
    Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
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    RECSYS
    2009
    ACM
    117views Control Systems» more  RECSYS 2009»
    Recommendations with prerequisites
    13 years 10 months ago
    Recommendations with prerequisites
    Download  ilpubs.stanford.edu
    We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the course ‘Real Ana...
    Aditya G. Parameswaran, Hector Garcia-Molina
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