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We have demonstrated in this paper that state-of-the-art performance can be achieved by jointly performing deep representation learning for the content information and collaborative filtering for the ratings matrix

Collaborative Deep Learning for Recommender Systems.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.1235-1244, (2015)

Cited by: 1203|Views412
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Abstract

Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation. However, the ratings are often very sparse in many applications, causing CF-based methods to degrade s...More

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