Hybrid Collaborative Recommendation via Semi-AutoEncoder

  title={Hybrid Collaborative Recommendation via Semi-AutoEncoder},
  author={Shuai Zhang and Lina Yao and Xiwei Xu and Sen Wang and Liming Zhu},
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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