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Hybrid Collaborative Recommendation via Semi-AutoEncoder

2017-08-16Code Available0· sign in to hype

Zhang Shuai, Yao Lina, Xu Xiwei, Wang Sen, Zhu Liming

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Abstract

In this paper, we present a novel structure, Semi-AutoEncoder, based on AutoEncoder. We generalize it into a hybrid collaborative filtering model for rating prediction as well as personalized top-n recommendations. Experimental results on two real-world datasets demonstrate its state-of-the-art performances.

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