TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest-Reference-Cited by-同舟云学术

TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Xia Xue¹^ORCID,Eksombatchai Pong¹^ORCID,Pancha Nikil¹^ORCID,Badani Dhruvil Deven¹^ORCID,Wang Po-Wei¹^ORCID,Gu Neng¹^ORCID,Joshi Saurabh Vishwas¹^ORCID,Farahpour Nazanin¹^ORCID,Zhang Zhiyuan¹^ORCID,Zhai Andrew¹^ORCID

Affiliation:

1. Pinterest, San Francisco, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599918

Reference44 articles.

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2. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

3. Jessica Chan. 2022. 3 Innovations While Unifying Pinterest's Key-Value Storage. https://medium.com/@Pinterest_Engineering/3-innovations-while-unifying-pinterests-key-value-storage-8cdcdf8cf6aa Jessica Chan. 2022. 3 Innovations While Unifying Pinterest's Key-Value Storage. https://medium.com/@Pinterest_Engineering/3-innovations-while-unifying-pinterests-key-value-storage-8cdcdf8cf6aa

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

5. Wide & Deep Learning for Recommender Systems

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