Assortment Optimization under the Paired Combinatorial Logit Model
Assortment Optimization under the Paired Combinatorial Logit Model
复制标题
配对组合Logit模型下的分类优化
DOI：
10.2139/ssrn.3012401
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Huseyin Topaloglu
中科院分区：
文献类型：
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作者：
Heng Zhang;Paat Rusmevichientong;Huseyin Topaloglu
当零售商决定提供哪一类产品时，他们可以利用一个描述客户如何在产品中进行选择和替代的选择模型。关键是使用一种选择模型，忠实地捕捉客户的选择过程，同时确保找到收入最大化类别的相应问题仍然容易处理。在《配对组合Logit模型下的选购优化》一书中，张、Rusmevichientong和Topaloglu考虑了配对组合Logit模型来捕捉顾客的选择过程。该选择模型使用效用最大化框架来捕捉客户的选择，并且产品的效用可以具有相当一般的关联结构。证明了在这种选择模型下，可以构造具有性能保证的算法来解决分类优化问题。
When retailers decide which assortment of products to offer, they can make use of a choice model that describes how customers choose and substitute among the products. The key is to use a choice model that faithfully captures the choice process of customers, while making sure that the corresponding problem of finding the revenue-maximizing assortment remains tractable. In “Assortment Optimization Under the Paired Combinatorial Logit Model,” Zhang, Rusmevichientong, and Topaloglu consider the paired combinatorial logit model to capture the choice process of customers. This choice model uses a utility maximization framework to capture the customer choices, and the utilities of the products can have a rather general correlation structure. The authors demonstrate that one can construct algorithms with performance guarantees to solve the assortment optimization problem under this choice model.