| Document Date: 2009-11-02 10:14:35
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City New York / / Company Netflix / MPRank / Google / / Facility Courant Institute of Mathematical Sciences / / IndustryTerm matrix inversion algorithms / on-line version / personalized search results / similar ranking systems / recommendation systems / search engines / web search engines / gradient descent algorithm / theses systems / closed form solution / on-line algorithm / recommender systems / preference-preserving algorithms / magnitude-preserving algorithms / regularization algorithms / search engine / learning algorithm / / Organization Courant Institute of Mathematical Sciences / / Position Prime Minister / Singer / MP / / ProgrammingLanguage D / L / R / / ProvinceOrState New York / / Technology learning algorithm / preference-preserving algorithms / AUC-maximization algorithm / 2 Algorithms / ranking algorithms / magnitude-preserving algorithms / on-line algorithm / matrix inversion algorithms / gradient descent algorithm / search engine / machine learning / The regularization algorithms / αi The gradient descent algorithm / cMP / using an AUC-maximization algorithm / /
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An Alternative Ranking Problem for Search Engines Corinna Cortes1 , Mehryar Mohri2,1 , and Ashish Rastogi2 1 2