Sequential Recommendation via Stochastic Self-Attention

Author:

Fan Ziwei1,Liu Zhiwei1,Wang Yu1,Wang Alice2,Nazari Zahra2,Zheng Lei3,Peng Hao4,Yu Philip S.1

Affiliation:

1. University of Illinois at Chicago, USA

2. Spotify Research, USA

3. Pinterest Inc., USA

4. Beihang University, China

Funder

Beihang University

National Science Foundation

Publisher

ACM

Reference57 articles.

1. Aleksandar Bojchevski and Stephan Günnemann . 2018 . Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking . In International Conference on Learning Representations. https://openreview.net/forum?id=r1ZdKJ-0W Aleksandar Bojchevski and Stephan Günnemann. 2018. Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. In International Conference on Learning Representations. https://openreview.net/forum?id=r1ZdKJ-0W

2. Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang and Xiangnan He. 2020. Bias and debias in recommender system: A survey and future directions. arXiv preprint arXiv:2010.03240(2020). Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang and Xiangnan He. 2020. Bias and debias in recommender system: A survey and future directions. arXiv preprint arXiv:2010.03240(2020).

3. An elementary proof of the triangle inequality for the Wasserstein metric

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018).

5. Generalizations of a Gaussian Theorem

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