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Another researcher applied a subclass of deep learning, called autoencoder (AE), which aims to refine the performance of matrix factorization . According to an experiment report, using a deep learning class, either AE or CNN, is successful in increasing the effectiveness of rating prediction as compared to the traditional BOW mechanism.

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