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ML
2008
ACM
146views Machine Learning» more  ML 2008»
14 years 9 months ago
Improving maximum margin matrix factorization
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
Markus Weimer, Alexandros Karatzoglou, Alex J. Smo...
ELECTRONICMARKETS
2000
130views more  ELECTRONICMARKETS 2000»
14 years 9 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
ICDM
2010
IEEE
146views Data Mining» more  ICDM 2010»
14 years 7 months ago
One-Class Matrix Completion with Low-Density Factorizations
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu,...
MOBISYS
2011
ACM
14 years 18 days ago
AppJoy: personalized mobile application discovery
The explosive growth of the mobile application market has made it a significant challenge for the users to find interesting applications in crowded App Stores. To alleviate this...
Bo Yan, Guanling Chen
ESWS
2008
Springer
14 years 11 months ago
Resolving Lexical Ambiguities in Folksonomy Based Search Systems through Common Sense and Personalization
Information on Web2.0, generated by users of web based services, is both difficult to organize and organic in nature. Content categorization and search in such situation offers cha...
Mohammad Nauman, Shahbaz Khan 0003, Muhammad Amin,...