ReLoop

Author:

Cai Guohao1,Zhu Jieming1,Dai Quanyu1,Dong Zhenhua1,He Xiuqiang2,Tang Ruiming1,Zhang Rui3

Affiliation:

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

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

3. www.ruizhang.info, Shenzhen, China

Publisher

ACM

Reference35 articles.

1. Wide & Deep Learning for Recommender Systems

2. Weiyu Cheng , Yanyan Shen , and Linpeng Huang . 2020 . Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI). 3609--3616 . Weiyu Cheng, Yanyan Shen, and Linpeng Huang. 2020. Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI). 3609--3616.

3. Jianping Gou , Baosheng Yu , Stephen John Maybank, and Dacheng Tao . 2020 . Knowledge Distillation : A Survey. CoRR abs/2006.05525 (2020). Jianping Gou, Baosheng Yu, Stephen John Maybank, and Dacheng Tao. 2020. Knowledge Distillation: A Survey. CoRR abs/2006.05525 (2020).

4. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

5. Neural Factorization Machines for Sparse Predictive Analytics

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1. Federated Continual Learning via Knowledge Fusion: A Survey;IEEE Transactions on Knowledge and Data Engineering;2024-08

2. RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning;2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2024-05-13

3. Continual Learning with Ranking Self-Correction in Event Detection;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

4. An Incremental Update Framework for Online Recommenders with Data-Driven Prior;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

5. Investigating the effects of incremental training on neural ranking models;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

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