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ICDIM
2010
IEEE
13 years 7 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
14 years 2 months ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
CSSC
2010
121views more  CSSC 2010»
13 years 6 months ago
An Efficient Estimation for Switching Regression Models: A Monte Carlo Study
This paper investigates an efficient estimation method for a class of switching regressions based on the characteristic function (CF). We show that with the exponential weighting ...
Dinghai Xu
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 1 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
TSP
2010
13 years 4 months ago
Compress-and-forward cooperative MIMO relaying with full channel state information
This paper addresses cooperative Time Division Duplex (TDD) relaying in the multiple-antenna case with full Channel State Information (CSI), i.e. assuming perfect knowledge of all ...
Sébastien Simoens, Olga Muñoz-Medina...