DDTCDR

Author:

Li Pan1,Tuzhilin Alexander1

Affiliation:

1. New York University, New York, NY, USA

Publisher

ACM

Reference45 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

2. Tim R Davidson Luca Falorsi Nicola De Cao Thomas Kipf and Jakub M Tomczak. 2018. Hyperspherical variational auto-encoders. arXiv preprint arXiv:1804.00891 (2018). Tim R Davidson Luca Falorsi Nicola De Cao Thomas Kipf and Jakub M Tomczak. 2018. Hyperspherical variational auto-encoders. arXiv preprint arXiv:1804.00891 (2018).

3. Ignacio Fernández-Tob'ias Iván Cantador Marius Kaminskas and Francesco Ricci. [n.d.]. Cross-domain recommender systems: A survey of the state of the art. Ignacio Fernández-Tob'ias Iván Cantador Marius Kaminskas and Francesco Ricci. [n.d.]. Cross-domain recommender systems: A survey of the state of the art.

4. Di He Yingce Xia Tao Qin Liwei Wang Nenghai Yu Tie-Yan Liu and Wei-Ying Ma. 2016. Dual learning for machine translation. In Advances in Neural Information Processing Systems. 820--828. Di He Yingce Xia Tao Qin Liwei Wang Nenghai Yu Tie-Yan Liu and Wei-Ying Ma. 2016. Dual learning for machine translation. In Advances in Neural Information Processing Systems. 820--828.

5. Neural Collaborative Filtering

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