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Collaborative filtering (CF) is one of the major approaches to building recommender systems. Traditional batch-trained algorithms for CF suffer from some drawbacks, and online learning algorithms for CF, is a promising tool for attacking the large-scale dynamic problems. However, the low time complexity of online algorithm often be accompanied by low convergence rate, and the convergence rate of current...
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