| Document Date: 2013-04-05 04:39:52
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City York / Paris / / Company The New York Times / Amazon / Netflix / Large Scale Recommenders Systems / TiVo / Recommender Systems / Yahoo! / / Country France / / Currency USD / / / Facility Trinity College / D. G. Bridge / / IndustryTerm eco-system intersecting multiple products / data mining applications / to other applications / power law decay / streaming ensemble algorithm / incremental processing / inner products / Internet Computing / regularized stochastic gradient descent algorithm / Item-based collaborative filtering recommendation algorithms / plain matrix factorization algorithm / data mining / web search / instances systems / stochastic gradient descent algorithm / personalized web search engine / recommendation technology / mov accounting / data mining community / star ratings to products / learning algorithm / learning algorithms / / Movie Titanic / / Organization Trinity College Dublin / U.S. Securities and Exchange Commission / / Person J. Han / P. S. Yu / / Position actor / director / Data Mining General / / ProgrammingLanguage K / T / / PublishedMedium The New York Times / Machine Learning / / Technology learning algorithm / Improved neighborhood-based algorithms / three algorithms / knowledge management / recommendation technology / regularized stochastic gradient descent algorithm / Data Mining / plain matrix factorization algorithm / search engine / Machine Learning / streaming ensemble algorithm / stochastic gradient descent algorithm / Item-based collaborative filtering recommendation algorithms / SVD++ algorithm / GUI / / URL www.netflixprize.com / /
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Collaborative Filtering with Temporal Dynamics Yehuda Koren Yahoo! Research, Haifa, Israel