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» Recommender systems in e-commerce
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COOPIS
2004
IEEE
15 years 5 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
GI
2010
Springer
14 years 12 months ago
Finite System Composition and Interaction
: In this article, it is proven for finite systems that if by reciprocal interaction, one finite system determines the action of another finite system, then both systems become sub...
Johannes Reich
143
Voted
SAC
2005
ACM
15 years 7 months ago
A trust-enhanced recommender system application: Moleskiing
Recommender Systems (RS) suggests to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique to assess user similarity bet...
Paolo Avesani, Paolo Massa, Roberto Tiella
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 9 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
131
Voted
AAAI
2012
13 years 4 months ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh