Hybrid Collaborative Recommendation via Semi-AutoEncoder

2017-08-16 · Zhang Shuai, Yao Lina, Xu Xiwei, Wang Sen, Zhu Liming

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.

📄 PDF Abstract BibTeX arXiv:1706.04453

Code (1)

cheungdaven/semi-ae-recsys 공식 구현 tf

Tasks

Collaborative Filtering

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Collaborative Filtering Deep Learning Explainable Recommendation Recommendation Systems+1