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» Providing Justifications in Recommender Systems
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WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 5 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
RECSYS
2009
ACM
14 years 2 months ago
Latent dirichlet allocation for tag recommendation
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in...
Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl
CIKM
2004
Springer
13 years 11 months ago
Taxonomy-driven computation of product recommendations
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Th...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 2 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
WWW
2005
ACM
14 years 8 months ago
AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contents by semantic Reasoning) is presented. This tool uses the experience gained in ...
Yolanda Blanco-Fernández, José J. Pa...