Ads Recommendation in a Collapsed and Entangled World-Reference-Cited by-同舟云学术

Ads Recommendation in a Collapsed and Entangled World

Published:2024-08-24 Issue: Volume: Page:5566-5577
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Pan Junwei¹^ORCID,Xue Wei¹^ORCID,Wang Ximei¹^ORCID,Yu Haibin¹^ORCID,Liu Xun¹^ORCID,Quan Shijie¹^ORCID,Qiu Xueming¹^ORCID,Liu Dapeng¹^ORCID,Xiao Lei¹^ORCID,Jiang Jie¹^ORCID

Affiliation:

1. Tencent Inc., Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671607

Reference84 articles.

1. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

2. Newsha Ardalani, Carole-Jean Wu, Zeliang Chen, Bhargav Bhushanam, and Adnan Aziz. 2022. Understanding Scaling Laws for Recommendation Models. arXiv preprint arXiv:2208.08489 (2022).

3. Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35, 8 (2013), 1798--1828.

4. On the Expressive Power of Deep Architectures

5. Yoshua Bengio, Olivier Delalleau, and Nicolas Roux. 2005. The curse of highly variable functions for local kernel machines. Advances in neural information processing systems 18 (2005).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the Ranking Loss for Recommendation with Sparse User Feedback;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24