RecGAN-Reference-Cited by-同舟云学术

RecGAN

Published:2018-09-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Bharadhwaj Homanga¹,Park Homin²,Lim Brian Y.²

Affiliation:

1. Indian Institute of Technology Kanpur

2. National University of Singapore

Funder

BIGHEART

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240323.3240383

Reference22 articles.

1. Palakorn Achananuparp and Ingmar Weber. 2016. Extracting food substitutes from food diary via distributional similarity. arXiv preprint arXiv:1607.08807 (2016). Palakorn Achananuparp and Ingmar Weber. 2016. Extracting food substitutes from food diary via distributional similarity. arXiv preprint arXiv:1607.08807 (2016).

2. Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma and Yi Zhang. 2017. Generalization and equilibrium in generative adversarial nets (gans). arXiv preprint arXiv:1703.00573 (2017). Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma and Yi Zhang. 2017. Generalization and equilibrium in generative adversarial nets (gans). arXiv preprint arXiv:1703.00573 (2017).

3. Kyunghyun Cho Bart Van Merriënboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014). Kyunghyun Cho Bart Van Merriënboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014).

4. Deep Neural Networks for YouTube Recommendations

5. Long and Short-Term Recommendations with Recurrent Neural Networks

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