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An Incremental Learning framework for Large-scale CTR Prediction
ACM Conference on Recommender Systems (RecSys), 2022
1 September 2022
Petros Katsileros
Nikiforos Mandilaras
Dimitrios Mallis
Vassilis Pitsikalis
Stavros Theodorakis
Gil Chamiel Deeplab - Greece
CLL
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Papers citing
"An Incremental Learning framework for Large-scale CTR Prediction"
4 / 4 papers shown
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
Yunxiao Shi
Shuo Yang
Haimin Zhang
Li Wang
Yongze Wang
Qiang Wu
Min Xu
168
2
0
09 Sep 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
291
2
0
29 Apr 2025
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
Zhongxiang Fan
Zhaocheng Liu
Jian Liang
Dongying Kong
Han Li
Peng Jiang
Shuang Li
Kun Gai
256
1
0
27 Jun 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng
Ning Li
Weinan Zhang
Yong Yu
AI4TS
357
0
0
24 Apr 2024
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