Neural Autoregressive Collaborative Filtering for Implicit Feedback-Reference-Cited by-同舟云学术

Neural Autoregressive Collaborative Filtering for Implicit Feedback

Published:2016-09-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st Workshop on Deep Learning for Recommender Systems
language:
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Author:

Zheng Yin¹,Liu Cailiang¹,Tang Bangsheng¹,Zhou Hanning¹

Affiliation:

1. Hulu LLC., Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2988450.2988453

Reference25 articles.

1. M. Abadi A. Agarwal P. Barham E. Brevdo Z. Chen C. Citro G. S. Corrado A. Davis J. Dean M. Devin et al. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 2016. M. Abadi A. Agarwal P. Barham E. Brevdo Z. Chen C. Citro G. S. Corrado A. Davis J. Dean M. Devin et al. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 2016.

2. G. K. Dziugaite and D. M. Roy. Neural network matrix factorization. arXiv preprint arXiv:1511.06443 2015. G. K. Dziugaite and D. M. Roy. Neural network matrix factorization. arXiv preprint arXiv:1511.06443 2015.

3. Using collaborative filtering to weave an information tapestry

4. F. M. Harper and J. A. Konstan. The movielens datasets: History and context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5(4): 19 2015. 10.1145/2827872 F. M. Harper and J. A. Konstan. The movielens datasets: History and context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5(4): 19 2015. 10.1145/2827872

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