Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation-Reference-Cited by-同舟云学术

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

Published:2021-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Web Conference 2021
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Author:

Xie Zhe¹,Liu Chengxuan¹,Zhang Yichi¹,Lu Hongtao¹,Wang Dong¹,Ding Yue¹

Affiliation:

1. Shanghai Jiao Tong University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442381.3449873

Reference31 articles.

1. Alexander A Alemi Ian Fischer Joshua V Dillon and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410(2016). Alexander A Alemi Ian Fischer Joshua V Dillon and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410(2016).

2. CFGAN

4. Adversarial Personalized Ranking for Recommendation

5. Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939(2015). Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939(2015).

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