Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

NeurIPS 2016 Hao WangXingjian ShiDit-Yan Yeung

Hybrid methods that utilize both content and rating information are commonly used in many recommender systems. However, most of them use either handcrafted features or the bag-of-words representation as a surrogate for the content information but they are neither effective nor natural enough... (read more)

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