Neural Information Processing Systems / Pearson / Amazon / Netflix / Large Recommender Systems / Google / Yahoo / TiVo / Recommender Systems / Yehuda Koren AT&T Labs / /
Country
Jordan / United States / /
Currency
USD / / /
IndustryTerm
Internet leaders / appropriate products / light pre-processing / inner product / real life systems / inner products / online prediction / pre-processing stage / search patterns / Pre-processing time / pre-processing / /
Movie
Titanic / /
Organization
Society for Information Science / Sk / U.S. Securities and Exchange Commission / /
Person
J. Riedl / John Riedl / A. Borchers / B. Sarwar / Robert Bell / J. A. Konstan / Suhrid Balakrishnan / Stephen North / G. Karypis / J. Konstan / B. M. Sarwar / J. L. Herlocker / / /
Position
known SVD model / while slightly improving accuracy / author / same author / model for recommendations / Acknowledgements The author / accurate neighborhood model / which overcomes these difficulties / integrated model / which offers further accuracy gains / Data Mining General / head / /
ProgrammingLanguage
T / /
ProvinceOrState
Nevada / /
PublishedMedium
Machine Learning / Communications of the ACM / Journal of Machine Learning Research / /
Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model Yehuda Koren AT&T Labs – Research 180 Park Ave, Florham Park, NJ 07932