As a professor in the computer science and engineering department at the University of California, San Diego, my main research interests are in machine learning and data science. I work especially on foundational questions raised by applications in business and biomedicine. Research in my group has been funded by an R01 grant from the National Institutes of Health, by the National Science Foundati
Monday October 2: Matrix Factorization Matrix Factorization Techniques for Recommender Systems (Koren et al., 2009) | pdf The Bellkor 2008 Solution to the Netflix Prize (Bell et al., 2008) | pdf Application: Recommending Product Sizes to Customers (Sembium et al., 2016) | pdf Wednesday October 4: Item-to-Item Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback (Rendle et al.,
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