Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising-Reference-Cited by-同舟云学术

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Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Tan Shulong,Li Meifang,Zhao Weijie,Zheng Yandan,Pei Xin,Li Ping

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671920.pdf?arnumber=9671920

Reference34 articles.

1. Distributed hierarchical gpu parameter server for massive scale deep learning ads systems;zhao;Proceedings of the 3rd Conference on Machine Learning and Systems (MLSys),2020

2. SONG: Approximate Nearest Neighbor Search on GPU

3. Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval

4. Combo-Attention Network for Baidu Video Advertising

5. Recommending what video to watch next

Cited by 2 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. Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

2. Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation;Companion Proceedings of the ACM Web Conference 2023;2023-04-30

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