Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
Junpeng Fang,
Gongduo Zhang,
Qing Cui
et al.
Abstract:Accurate prediction of coupon usage is crucial for promoting user consumption through targeted coupon recommendations. However, in real-world coupon recommendations, the coupon allocation process is not solely determined by the model trained with the history interaction data but is also interfered with by marketing tactics desired to fulfill specific commercial goals.This interference creates an imbalance in the interactions, which causes the data to deviate from the user's natural preferences. We refer to thi… Show more
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