Fiat / Pearson / Intelligent Laboratory Systems / Intel / / /
Facility
University of Toronto / Dartmouth College / /
IndustryTerm
collaborative filtering algorithms / model based algorithms / recommendation systems / constant time collaborative filtering algorithm / Item-based collaborative filtering recommendation algorithms / Internet Measurement / e - commerce / recommender systems / real-world systems / real-world recommendation systems / largescale networks / /
Movie
Erin Brockovich / Notting Hill / /
Organization
Royal Statistical Society / SVD EM / National Science Foundation / NMF EM / Department of Computer Science / SVD NMF / NMAE ROC / Dartmouth College / University of Toronto / /
Person
Julia Roberts / Austin Powers / James Ford / Aij / /
Position
linear model for collaborative filtering / linear model / NMF / representative / /
ProvinceOrState
New Mexico / New Hampshire / /
Technology
3.1 EM procedure The EM algorithm / existing CF algorithms / AV / NMF-based algorithms / CF algorithms / WNMF algorithm / EM-based algorithm / collaborative filtering algorithms / model based algorithms / machine learning / NMF-based CF algorithms / NMF algorithm / EM algorithm / proposed NMF-based algorithms / Item-based collaborative filtering recommendation algorithms / two algorithms / constant time collaborative filtering algorithm / using different CF algorithms / /
Learning from Incomplete Ratings Using Non-negative Matrix Factorization Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon