Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
Accurate prediction of coupon usage is crucial for promoting user consumption through
targeted coupon recommendations. However, in real-world coupon recommendations, the …
targeted coupon recommendations. However, in real-world coupon recommendations, the …
Causal dynamic variational autoencoder for counterfactual regression in longitudinal data
ME Bouchattaoui, M Tami, B Lepetit… - arXiv preprint arXiv …, 2023 - arxiv.org
Estimating treatment effects over time is relevant in many real-world applications, such as
precision medicine, epidemiology, economy, and marketing. Many state-of-the-art methods …
precision medicine, epidemiology, economy, and marketing. Many state-of-the-art methods …
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
In real-world coupon recommendations, the coupon allocation process is influenced by both
the recommendation model trained with historical interaction data and marketing tactics …
the recommendation model trained with historical interaction data and marketing tactics …
Optimizing Restaurant Customer Flow and Revenue with Real-Time Coupon Allocation: A Deep Reinforcement Learning Approach
J Feng, J Wu, M Chen, J Qin - 2024 - aisel.aisnet.org
To adjust customer numbers in restaurants in real-time, thus reducing customer churn and
improving total revenue, this study diverges from traditional methods such as queuing theory …
improving total revenue, this study diverges from traditional methods such as queuing theory …