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    » LARS: A Location-Aware Recommender System
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    GFKL
    2005
    Springer
    114views Data Mining» more  GFKL 2005»
    Attribute-aware Collaborative Filtering
    13 years 11 months ago
    Attribute-aware Collaborative Filtering
    Download  www.ismll.uni-hildesheim.de
    One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
    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 11 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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    PKDD
    2007
    Springer
    125views Data Mining» more  PKDD 2007»
    Tag Recommendations in Folksonomies
    13 years 11 months ago
    Tag Recommendations in Folksonomies
    Download  www.kde.cs.uni-kassel.de
    Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and ...
    Robert Jäschke, Leandro Balby Marinho, Andrea...
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    DOLAP
    2010
    ACM
    180views Information Technology» more  DOLAP 2010»
    Integrating OLAP and recommender systems: an evaluation perspective
    13 years 2 months ago
    Integrating OLAP and recommender systems: an evaluation perspective
    Download  www.ismll.uni-hildesheim.de
    The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
    Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lar...
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    JCP
    2006
    117views more  JCP 2006»
    Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
    13 years 5 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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