Order-aware Embedding Neural Network for CTR Prediction

Author:

Guo Wei1,Tang Ruiming2,Guo Huifeng2,Han Jianhua2,Yang Wen1,Zhang Yuzhou2

Affiliation:

1. Wuhan University, Wuhan, China

2. Noah's Ark Lab, Huawei, Shenzhen, China

Publisher

ACM

Cited by 14 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. MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction;Intelligent Data Analysis;2023-11-30

2. DFFM: Domain Facilitated Feature Modeling for CTR Prediction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Attention-Based Feature Interaction Deep Factorization Machine for CTR Prediction;Artificial Neural Networks and Machine Learning – ICANN 2023;2023

5. HoINT: Learning Explicit and Implicit High-order Feature Interactions for Click-through Rate Prediction;Neural Processing Letters;2022-06-11

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