| Document Date: 2008-09-15 14:56:05
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City York / / Company Prentice-Hall / Pearson / Amazon / Netflix / Large Recommender Systems / Recommender Systems / / Currency USD / / / IndustryTerm online computation / e-commerce leaders / inner products / online movie rental / item-item inner products / timal solution / large scale applications / larger systems / / Organization American Statistical Association / / Person John Riedl / J. Riedl / A. Borchers / B. Sarwar / Robert M. Bell / J. A. Konstan / G. Karypis / J. Konstan / B. M. Sarwar / J. L. Herlocker / / Product Cinematch / Netflix Cinematch / / PublishedMedium Machine Learning / Communications of the ACM / / Technology resulting algorithm / CF algorithms / Data Mining / Machine Learning / Collaborative Filtering Recommendation Algorithms / Constant Time Collaborative Filtering Algorithm / / URL “Amazon.com / www.grouplens.org / www.netflixprize.com/leaderboard / /
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Seventh IEEE International Conference on Data Mining Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights Robert M. Bell and Yehuda Koren AT&T Labs – Research