In the rapidly evolving landscape of retail, assortment planning plays a crucial role in determining the success of a business. With the rise of sponsored products and their increasing prominence in online marketplaces, retailers face new challenges in effectively managing their product assortment in the presence of sponsored products. Remarkably, previous research in assortment planning largely overlooks the existence of sponsored products and their potential impact on overall recommendation effectiveness. Instead, they commonly make the simplifying assumption that all products are either organic or non-sponsored. This research gap underscores the necessity for a more thorough investigation of the assortment planning challenge when sponsored products are in play. We formulate the assortment planning problem in the presence of sponsored products as a combinatorial optimization task. The ultimate objective is to compute an assortment plan that optimizes expected revenue while considering the specific requirements of placing sponsored products strategically.

在零售行业的快速发展中，产品组合规划在确定企业成功方面起着至关重要的作用。然而，在在线市场中赞助产品的兴起和其日益突出的地位下，零售商在有效管理产品组合时面临着新的挑战。本研究填补了以往研究忽视赞助产品及其对整体推荐效果的潜在影响的研究空白，通过将组合规划问题建模为一个组合优化任务，旨在计算出一个既能优化预期收益又能考虑到有策略地放置赞助产品的产品组合方案。

赞助产品的组合规划