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- W4385565539 abstract "Rewards-based programs are popular within e-commerce online stores, with the goal of providing serendipitous incentives to delight customers. These rewards (or incentives) could be in the form of cashback, free-shipping or discount coupons on purchases within specific categories. The success of such programs relies on their ability to identify relevant rewards for customers, from a wide variety of incentives available on the online store. Estimating the likelihood of a customer redeeming an incentive is challenging due to 1) data sparsity: relatively rare occurrence of coupon redemptions as compared to issuances, and 2) delayed feedback: customers taking time to redeem, resulting in inaccurate model refresh, compounded by data drift due to new customers and coupons." @default.
- W4385565539 created "2023-08-05" @default.
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- W4385565539 date "2023-08-04" @default.
- W4385565539 modified "2023-09-27" @default.
- W4385565539 title "Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement" @default.
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- W4385565539 doi "https://doi.org/10.1145/3580305.3599867" @default.
- W4385565539 hasPublicationYear "2023" @default.
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