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Life-long user behavior modeling, i.e., extracting a user's hidden interests from rich historical behaviors in months or even years, plays a central role in modern CTR prediction systems.
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Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Yue Cao, XiaoJiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen, and Sheng Chen. 2022 · 2022
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Learning to Retrieve User Behaviors for Click-Through Rate Estimation
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, and Yong Yu. 2023 · 2023
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