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Econometrics / Information retrieval / Estimation theory / Information systems / Collaborative filtering / Expectation–maximization algorithm / Cold start / Regression analysis / Recommender system / Statistics / Collective intelligence / Information science


Leveraging User Libraries to Bootstrap Collaborative Filtering Laurent Charlin ∗
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Document Date: 2014-07-17 22:09:04


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Corvallis / Helsinki / New York / Washington / DC / Cambridge / San Jose / /

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AUAI Press / Neural Information Processing Systems / Amazon / MIT Press / nonconjugate LDA / Google / Monte Carlo / /

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Jordan / United States / Finland / /

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University of Toronto / Richard S. Zemel Hugo Larochelle University of Toronto Dept / /

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element-wise product / online recommendation / inner product / recommendation systems / dot product / data mining / online user interface / Active set algorithms / online service / collaborative filtering systems / potential applications / image recommendation tool / closed-form solutions / primitive online learning procedure / Web search / information procession systems / online book merchants / /

Organization

MIT / Princeton University / University of Toronto Dept of Computer Science Toronto / IEEE Computer Society / University of Toronto / Pattern Analysis and Machine Intelligence / /

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Laurent Charlin / /

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+MP / researcher / Graphical model for CSTM. some transfer across users / chief / author / /

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Matlab / Kindle / /

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DC / /

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Oregon / New York / California / Massachusetts / /

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Machine Learning / Journal of Machine Learning Research / /

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screen capture / machine learning / EM algorithm / Active set algorithms / artificial intelligence / data mining / /

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