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An integer programming approach for quick-commerce assortment planning

Autor: Chen, Yajing, He, Taotao, Rong, Ying, Wang, Yunlong

In this paper, we explore the challenge of assortment planning in the context of quick-commerce, a rapidly-growing business model that aims to deliver time-sensitive products. In order to achieve quick delivery to satisfy the immediate demands of onl

Externí odkaz: http://arxiv.org/abs/2405.02553

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Mostly Beneficial Clustering: Aggregating Data for Operational Decision Making

Autor: Li, Chengzhang, Peng, Zhenkang, Rong, Ying

With increasingly volatile market conditions and rapid product innovations, operational decision-making for large-scale systems entails solving thousands of problems with limited data. Data aggregation is proposed to combine the data across problems

Externí odkaz: http://arxiv.org/abs/2311.17326

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Myopic Quantal Response Policy: Thompson Sampling Meets Behavioral Economics

Autor: Ding, Jingying, Feng, Yifan, Rong, Ying

We study a novel family of behavioral policies for the multi-armed bandit (MAB) problem, which we have termed Myopic Quantal Response (MQR). MQR prescribes a simple way to randomize over arms according to historical rewards and a "coefficient of expl

Externí odkaz: http://arxiv.org/abs/2207.01028

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