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» Link prediction approach to collaborative filtering
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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 8 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
PAMI
2008
174views more  PAMI 2008»
13 years 6 months ago
Geometric Observers for Dynamically Evolving Curves
Abstract-- This paper proposes a deterministic observer design for visual tracking based on non-parametric implicit (level-set) curve descriptions. The observer is continuous-discr...
Marc Niethammer, Patricio A. Vela, Allen Tannenbau...
KBSE
2005
IEEE
14 years 1 months ago
Determining the cost-quality trade-off for automated software traceability
Major software development standards mandate the establishment of trace links among software artifacts such as requirements, architectural elements, or source code without explici...
Alexander Egyed, Stefan Biffl, Matthias Heindl, Pa...
RECSYS
2009
ACM
14 years 2 months ago
Recommending new movies: even a few ratings are more valuable than metadata
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...
István Pilászy, Domonkos Tikk
ICML
2008
IEEE
14 years 8 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih