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ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
15 years 3 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
ICWSM
2008
14 years 11 months ago
Recommendation of Multimedia Items by Link Analysis and Collaborative Filtering
We investigate two recommendation approaches suitable for online multimedia sharing services. Our first approach, UserRank, recommends items by global interestingness irrespective...
Davin Wong, Ella Bingham, Saara Hyvönen
COLCOM
2009
IEEE
15 years 2 months ago
Learning communities supported by autonomic recommendation mechanism
- Peer-to-peer (P2P) offers good solutions for many applications such as large data sharing and collaboration. Thus, it appears as a powerful paradigm to develop scalable distribut...
Stainam N. Brandao, Ricardo T. Silva, Jano M. Souz...
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
15 years 4 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
RECSYS
2010
ACM
14 years 10 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho