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RECSYS
2010
ACM
15 years 6 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
ICASSP
2010
IEEE
15 years 6 months ago
Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks
— In cognitive radio, spectrum sensing is a key component to detect spectrum holes (i.e., channels not used by any primary users). Collaborative spectrum sensing among the cognit...
Jia Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zh...
GRC
2007
IEEE
15 years 6 months ago
Privacy Preserving Collaborative Filtering Using Data Obfuscation
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rupa Parameswaran, Douglas M. Blough
HPDC
2008
IEEE
15 years 6 months ago
Collaborative ranking of grid-enabled workflow service providers
Service Oriented Architecture (SOA) and Grid computing are very hot research topics, nowadays. While Grid computing is aimed at sharing dynamically heterogeneous resources, SOAs i...
Domenico Laforenza, Franco Maria Nardini, Fabrizio...
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 6 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...