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» Trust-Aware Collaborative Filtering for Recommender Systems
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COOPIS
2004
IEEE
13 years 8 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
IAT
2009
IEEE
13 years 11 months ago
Social Trust-Aware Recommendation System: A T-Index Approach
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mi...
JUCS
2010
217views more  JUCS 2010»
13 years 2 months ago
The 3A Personalized, Contextual and Relation-based Recommender System
Abstract: This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments....
Sandy El Helou, Christophe Salzmann, Denis Gillet
AICS
2009
13 years 2 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley
ICWS
2009
IEEE
13 years 2 months ago
WSRec: A Collaborative Filtering Based Web Service Recommender System
As the abundance of Web services on the World Wide Web increase, designing effective approaches for Web service selection and recommendation has become more and more important. In...
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King