Chengjun Mao

According to our database, Chengjun Mao authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction.

Xiaofeng Pan, Yibin Shen, Jing Zhang, Xu He, Yang Huang, Hong Wen, Chengjun Mao, Bo Cao

Proceedings of the Database Systems for Advanced Applications, 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

Proceedings of the Database Systems for Advanced Applications, 2023

DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations.

Wei Dai, Yingmin Su, Xiaofeng Pan, Yufeng Wang, Zhenyu Zhu, Nan Xu, Chengjun Mao, Bo Cao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.

Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Hong Wen, Luping Wang, Chengjun Mao, Bo Cao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.

Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao

CoRR, 2021

SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction.

Xiaofeng Pan, Yibin Shen, Jing Zhang, Keren Yu, Hong Wen, Shui Liu, Chengjun Mao, Bo Cao

CoRR, 2021