A generalized doubly robust learning framework for debiasing post-click conversion rate prediction

Q Dai, H Li, P Wu, Z Dong, XH Zhou, R Zhang… - Proceedings of the 28th …, 2022 - dl.acm.org
Post-click conversion rate (CVR) prediction is an essential task for discovering user interests
and increasing platform revenues in a range of industrial applications. One of the most …

Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising

Q Liu, H Li, X Ao, Y Guo, Z Dong, R Zhang… - Proceedings of the 46th …, 2023 - dl.acm.org
The delayed feedback is becoming one of the main obstacles in online advertising due to
the pervasive deployment of the cost-per-conversion display strategy requesting a real-time …

Generalized delayed feedback model with post-click information in recommender systems

J Yang, DC Zhan - Advances in Neural Information …, 2022 - proceedings.neurips.cc
Predicting conversion rate (eg, the probability that a user will purchase an item) is a
fundamental problem in machine learning based recommender systems. However, accurate …

CTnoCVR: A novelty auxiliary task making the lower-CTR-higher-CVR upper

D Zhang, H Wu, G Zeng, Y Yang, W Qiu… - Proceedings of the 45th …, 2022 - dl.acm.org
In recent years, multi-task learning models based on deep learning in recommender
systems have attracted increasing attention from researchers in industry and academia …