M. K. Condliff D. D. / The Natural / Recommender Systems / /
Country
Finland / /
Currency
USD / / /
Event
Product Issues / Product Recall / /
Facility
U.S.A. David M. Pennock NEC Research Institute / We store / Lyle H. Ungar University of Pennsylvania Dept. / University of Pennsylvania / NEC Research Institute / /
IndustryTerm
real-world applications / binary classification algorithms / majority prediction algorithms / recommendation algorithms / machine learning algorithms / pure collaborative filtering algorithm / Item-based collaborative filtering recommendation algorithms / Web Mining / Web Conference / belief networks / e - commerce / predictive algorithms / realworld applications / hybrid algorithms / Internet Movie Database / online newspaper / /
MusicGroup
Memento / /
Organization
National Institute of Health / Lyle H. Ungar University of Pennsylvania Dept. of Computer Science / Department of Computer and Information Science / The University of Pennsylvania / U.S.A. David M. Pennock NEC Research Institute / NEC Research Institute / /
Person
Andrew I. Schein / / /
Position
aspect model for implicit rating prediction / actor / Interpretation person movie actor / Contingency table analysis General / person/actor / aspect model in the region / actor and director information / /
Product
MovieLens / precision/ / /
ProvinceOrState
Pennsylvania / /
PublishedMedium
Machine Learning / Communications of the ACM / Journal of Artificial Intelligence Research / /
Technology
Genomics / recommendation algorithms / RAM / tempered EM algorithm / artificial intelligence / two machine learning algorithms / na¨ıve Bayes algorithm / binary classification algorithms / machine learning / pure collaborative filtering algorithm / EM algorithm / majority prediction algorithms / Item-based collaborative filtering recommendation algorithms / memory-based algorithms / folding-in algorithm / virtual community / calculated using the tempered EM algorithm / /