MP2-Reference-Cited by-同舟云学术

MP2

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Wang Menghan¹,Guo Yuchen¹,Zhao Zhenqi²,Hu Guangzheng³,Shen Yuming⁴,Gong Mingming³,Torr Philip⁴

Affiliation:

1. eBay Inc., Shanghai, China

2. Tencent Inc., Shanghai, China

3. The University of Melbourne, Melbourne, VIC, Australia

4. University of Oxford, London, United Kingdom

Funder

the University of Oxford's COVID-19 Research Response Fund

EPSRC/MURI grant

Turing AI Fellowship

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531813

Reference17 articles.

1. Chris Burges Tal Shaked Erin Renshaw Ari Lazier Matt Deeds Nicole Hamilton and Greg Hullender. 2005. Learning to rank using gradient descent. In ICML. 89--96. Chris Burges Tal Shaked Erin Renshaw Ari Lazier Matt Deeds Nicole Hamilton and Greg Hullender. 2005. Learning to rank using gradient descent. In ICML. 89--96.

2. Lin Chen Peng Zhang and Baoxin Li. 2015. Fusing pointwise and pairwise labels for supporting user-adaptive image retrieval. In ICMR . 67--74. Lin Chen Peng Zhang and Baoxin Li. 2015. Fusing pointwise and pairwise labels for supporting user-adaptive image retrieval. In ICMR . 67--74.

3. Xinlei Chen , Haoqi Fan , Ross Girshick , and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 ( 2020 ). Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020).

4. Wide & Deep Learning for Recommender Systems

5. Yagmur Gizem Cinar and Jean-Michel Renders. 2020. Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation. In Recsys. 414--419. Yagmur Gizem Cinar and Jean-Michel Renders. 2020. Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation. In Recsys. 414--419.

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