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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
INFOVIS
2003
IEEE
13 years 10 months ago
Empirical Comparison of Dynamic Query Sliders and Brushing Histograms
Dynamic queries facilitate rapid exploration of information by real-time visual display of both query formulation and results. Dynamic query sliders are linked to the main visuali...
Qing Li, Chris North
AAAI
2010
13 years 6 months ago
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach
With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to m...
Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie...
ICML
2008
IEEE
14 years 5 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
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
13 years 11 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