Architecture and Operation Adaptive Network for Online Recommendations-Reference-Cited by-同舟云学术

Architecture and Operation Adaptive Network for Online Recommendations

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Lang Lang¹,Zhu Zhenlong¹,Liu Xuanye¹,Zhao Jianxin¹,Xu Jixing¹,Shan Minghui¹

Affiliation:

1. Didi Chuxing, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467133

Reference22 articles.

1. David Eigen Marc'Aurelio Ranzato and Ilya Sutskever. 2013. Learning factored representations in a deep mixture of experts. arXiv preprint arXiv:1312.4314(2013). David Eigen Marc'Aurelio Ranzato and Ilya Sutskever. 2013. Learning factored representations in a deep mixture of experts. arXiv preprint arXiv:1312.4314(2013).

2. Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXivpreprint arXiv:1703.04247(2017). Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXivpreprint arXiv:1703.04247(2017).

3. Neural Factorization Machines for Sparse Predictive Analytics

4. Field-aware Factorization Machines for CTR Prediction

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