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