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» Factorization meets the neighborhood: a multifaceted collabo...
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RECSYS
2010
ACM
13 years 5 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
DEBU
2008
165views more  DEBU 2008»
13 years 4 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann
IUI
2004
ACM
13 years 10 months ago
Second messenger: increasing the visibility of minority viewpoints with a face-to-face collaboration tool
This paper introduces the application Second Messenger, a tool for supporting face-to-face meetings and discussions. Second Messenger uses a speech-recognition engine as an input ...
Joan Morris DiMicco, Walter Bender
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 5 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky