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» Introduction to recommender systems
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EDBT
2012
ACM
299views Database» more  EDBT 2012»
13 years 7 days ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...

Book
2818views
16 years 7 months ago
Introduction To Digital Filters With Audio Applications
"This book was written for my introductory course in digital audio signal processing, which I have given at the Center for Computer Research in Music and Acoustics (CCRMA) sin...
Julius O. Smith III
ATAL
2003
Springer
15 years 3 months ago
Recommender systems: a market-based design
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
ECSCW
2001
14 years 11 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
RECSYS
2009
ACM
15 years 4 months ago
Regret-based optimal recommendation sets in conversational recommender systems
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
Paolo Viappiani, Craig Boutilier