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» A Lattice-Based Model for Recommender Systems
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AIRS
2009
Springer
15 years 6 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang
SUTC
2006
IEEE
15 years 5 months ago
DynamicTrust: The Trust Development in Peer-to-Peer Environments
In peer-to-peer (P2P) environments, trust is a very important issue when transactions/interactions occur between peers. In general, the trust evaluation on transactions/interactio...
Yang Wang, Vijay Viradharajan
ICDIM
2010
IEEE
14 years 9 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
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 2 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
HICSS
2002
IEEE
120views Biometrics» more  HICSS 2002»
15 years 4 months ago
Real Time Decision Support System for Portfolio Management
We describe our real time decision support system; a system that supports information gathering and managing of an investment portfolio. Our system uses the Object Oriented Bayesi...
Chiu-Che Tseng, Piotr J. Gmytrasiewicz