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SDM
2012
SIAM
281views Data Mining» more  SDM 2012»
11 years 6 months ago
Contextual Collaborative Filtering via Hierarchical Matrix Factorization
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
ErHeng Zhong, Wei Fan, Qiang Yang
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
13 years 10 months ago
Improving Collaborative Filtering Recommendations Using External Data
This paper describes an approach for incorporating externally specified aggregate ratings information into certain types of collaborative filtering (CF) methods. For a statistic...
Akhmed Umyarov, Alexander Tuzhilin
WWW
2011
ACM
12 years 11 months ago
Improving recommendation for long-tail queries via templates
The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as ...
Idan Szpektor, Aristides Gionis, Yoelle Maarek
ASPDAC
2006
ACM
116views Hardware» more  ASPDAC 2006»
13 years 10 months ago
Post-routing redundant via insertion for yield/reliability improvement
- Reducing the yield loss due to via failure is one of the important problems in design for manufacturability. A well known and highly recommended method to improve via yield/relia...
Kuang-Yao Lee, Ting-Chi Wang
ECSCW
2001
13 years 5 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...