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Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Published on Aug 07, 200812254 Views

Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP estimate of the mode

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