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Latent rating pattern sharing based approaches for cross-domain recommendations can alleviate the data sparsity problem by pulling the knowledge available from other domains and are faster in prediction. However, since the prediction quality depends on number of chosen user and item classes for given data-set, the model training time becomes prohibitively large even for medium size data-sets. In this...
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