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» Preference Networks: Probabilistic Models for Recommendation...
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RECSYS
2009
ACM
14 years 2 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ļ¬...
Benjamin M. Marlin, Richard S. Zemel
SIGIR
2009
ACM
14 years 2 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the ļ¬eld of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
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...
SIGIR
2012
ACM
11 years 10 months ago
Predicting the ratings of multimedia items for making personalized recommendations
Existing multimedia recommenders suggest a speciļ¬c type of multimedia items rather than items of diļ¬€erent types personalized for a user based on his/her preference. Assume tha...
Rani Qumsiyeh, Yiu-Kai Ng
KCAP
2003
ACM
14 years 22 days ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...