Dempster / bristol / Sunnyvale / gaza / New York City / /
Company
American International Group / MIT Press / General Motor / Netflix / Obama / Amazon.com / Yahoo! / unsupervised LDA. / /
Country
Iran / Japan / Russia / Jordan / Pakistan / United States / Afghanistan / North Korea / korea / China / Iraq / Somalia / /
Currency
USD / / /
IndustryTerm
by-product / grid search / large scale online bayesian recommendations / web applications / recommender system applications / parallel algorithms / online advertising / online book club / maximum entropy web recommendation system / recommender systems / media-scheduling problems / text mining applications / movie recommender systems / real-world applications / dyadic data applications / bank / display advertising / rigorous solutions / performance in applications / social news service site / online advertising systems / web search / ad-network / social networks / large recommender systems / online newspaper / steel / /
MarketIndex
Monte Carlo / /
Organization
MIT / Bush administration / IDF / National Academy of Sciences / Central Intelligence Agency / United Nations / National Aeronautics and Space Administration / taliban / National Football League / /
Person
natasha richardson / Chung Chen / chris brown / Madonna / John Wiley / Deepak Agarwal Bee-Chung / /
Position
Captain / scientist / Information filtering General / ceo / leader / singer / journalist / non parametric bayesian model for tensor factorization / coach / player / team / Porter / actor / actress and director names / actor / actress / /
Product
fLDA / /
ProgrammingLanguage
K / /
ProvinceOrState
New York / New Mexico / /
SportsEvent
nfl / /
Technology
Monte Carlo EM algorithm / Av / collaborativefiltering-style algorithms / EM fitting algorithm / MCEM algorithm / carlo EM algorithm / EM algorithm / simulation / /
fLDA: Matrix Factorization through Latent Dirichlet Allocation Deepak Agarwal Bee-Chung Chen