SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction. - Xiaofeng Pan; Yibin Shen; Jing Zhang 037; Keren Yu; Hong Wen 002; Shui Liu; Chengjun Mao; Bo Cao (CoRR, 2021)

Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. - Xiaofeng Pan; Ming Li; Jing Zhang 037; Keren Yu; Luping Wang; Hong Wen 002; Chengjun Mao; Bo Cao (CoRR, 2021)

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. - Xiaofeng Pan; Ming Li; Jing Zhang 037; Keren Yu; Hong Wen 002; Luping Wang; Chengjun Mao; Bo Cao (SIGIR, 2022)

DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. - Wei Dai; Yingmin Su; Xiaofeng Pan; Yufeng Wang 001; Zhenyu Zhu; Nan Xu; Chengjun Mao; Bo Cao (CIKM, 2023)

FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation. - Ming Li; Naiyin Liu; Xiaofeng Pan; Yang Huang; Ningning Li; Yingmin Su; Chengjun Mao; Bo Cao (DASFAA (4), 2023)

MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction. - Xiaofeng Pan; Yibin Shen; Jing Zhang 037; Xu He; Yang Huang; Hong Wen 002; Chengjun Mao; Bo Cao (DASFAA (2), 2023)