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» Matchbox: large scale online bayesian recommendations
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NIPS
2007
13 years 11 months ago
Topmoumoute Online Natural Gradient Algorithm
Guided by the goal of obtaining an optimization algorithm that is both fast and yields good generalization, we study the descent direction maximizing the decrease in generalizatio...
Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua B...
SIGIR
2011
ACM
13 years 26 days ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
MMAS
2011
Springer
13 years 5 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
VLDB
2002
ACM
193views Database» more  VLDB 2002»
13 years 9 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
13 years 11 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee