Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation-Reference-Cited by-同舟云学术

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:Fifteenth ACM Conference on Recommender Systems
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Author:

de Souza Pereira Moreira Gabriel¹,Rabhi Sara²,Lee Jeong Min³,Ak Ronay⁴,Oldridge Even²

Affiliation:

1. NVIDIA, Brazil

2. NVIDIA, Canada

3. Facebook AI, United States

4. NVIDIA, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460231.3474255

Reference67 articles.

1. 2021. Transformers4Rec paper online appendix. https://github.com/NVIDIA-Merlin/publications/tree/main/2021_acm_recsys_transformers4rec 2021. Transformers4Rec paper online appendix. https://github.com/NVIDIA-Merlin/publications/tree/main/2021_acm_recsys_transformers4rec

2. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450(2016). Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450(2016).

3. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2016. Neural Machine Translation by Jointly Learning to Align and Translate. arxiv:1409.0473 [cs.CL] Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2016. Neural Machine Translation by Jointly Learning to Align and Translate. arxiv:1409.0473 [cs.CL]

4. Latent Cross

5. Behavior sequence transformer for e-commerce recommendation in Alibaba

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