Search Results for author: Chengjun Mao

Found 3 papers, 2 papers with code

FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation

1 code implementation10 Apr 2023 Ming Li, Naiyin Liu, Xiaofeng Pan, Yang Huang, Ningning Li, Yingmin Su, Chengjun Mao, Bo Cao

Then the frequency spectrum is modulated by category information of the target item to model the bias that both the upper bound of fatigue and users' patience is different for different categories.

Click-Through Rate Prediction Time Series

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

no code implementations27 Dec 2021 Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao

At last, we develop an Ensemble Prediction Network (EPN) which incorporates the output of FRN and DMN to make the final CVR prediction.

Meta-Learning

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