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SIGKDD
2008
138views more  SIGKDD 2008»
13 years 5 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
UIC
2007
Springer
13 years 11 months ago
Ontology-Based Semantic Recommendation for Context-Aware E-Learning
Nowadays, e-learning systems are widely used for education and training in universities and companies because of their electronic course content access and virtual classroom partic...
Zhiwen Yu, Yuichi Nakamura, Seiie Jang, Shoji Kaji...
ESWS
2006
Springer
13 years 9 months ago
Interactive Ontology-Based User Knowledge Acquisition: A Case Study
On the Semantic Web personalization technologies are needed to deal with user diversity. Our research aims at maximising the automation of acquisition of user knowledge, thus provi...
Lora Aroyo, Ronald Denaux, Vania Dimitrova, Michae...
ELECTRONICMARKETS
2000
130views more  ELECTRONICMARKETS 2000»
13 years 5 months ago
Virtual Communities of Transaction: The Role of Personalization in Electronic Commerce
Bringing communities of buyers and sellers together in the arena of electronic commerce stimulates three major potentials: the building of trust, the collection and effective use ...
Petra Schubert, Mark Ginsburg
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
13 years 10 months ago
Attribute-aware Collaborative Filtering
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