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AI
2009
Springer
14 years 2 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Daniel Pomerantz, Gregory Dudek
RECSYS
2009
ACM
14 years 2 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
IEEEARES
2008
IEEE
14 years 2 months ago
Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
Esma Aïmeur, Gilles Brassard, José Man...
HICSS
2006
IEEE
108views Biometrics» more  HICSS 2006»
14 years 1 months ago
Matching People and Jobs: A Bilateral Recommendation Approach
Recommendation systems are widely used on the Internet to assist customers in finding the products or services that best fit with their individual preferences. While current imple...
Jochen Malinowski, Tobias Keim, Oliver Wendt, Tim ...
SEKE
2005
Springer
14 years 1 months ago
Javawock: A Java Class Recommender System Based on Collaborative Filtering
- Many software development platforms provide a large number of library components to make it easy to build high quality software. On the other hand, it became more and more diffic...
Masateru Tsunoda, Takeshi Kakimoto, Naoki Ohsugi, ...