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131
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UAI
2003
15 years 3 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
118
Voted
CHI
2005
ACM
16 years 2 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen
UM
2007
Springer
15 years 8 months ago
Cross-Domain Mediation in Collaborative Filtering
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
135
Voted
MSR
2005
ACM
15 years 7 months ago
Accelerating cross-project knowledge collaboration using collaborative filtering and social networks
Masao Ohira, Naoki Ohsugi, Tetsuya Ohoka, Ken-ichi...
SOCIALCOM
2010
14 years 11 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang