For a large class of demand models that allow for multiple consumer types, we present performance guarantees for simple nonpersonalized pricing heuristics relative to optimal …
W Yang, C Yang, J Li, Y Tan, X Lu, C Shi - arXiv preprint arXiv:2406.06925, 2024 - arxiv.org
The personalized bundle generation problem, which aims to create a preferred bundle for user from numerous candidate items, receives increasing attention in recommendation …
This paper studies estimation problem of customer preferences from bundle sales data. Product bundling is a common selling mechanism used in retails. To set profitable bundle …
J Cao - Available at SSRN 4278989, 2022 - papers.ssrn.com
We formulate a collaborative learning and decision-making problem involving contextual information. In current business practices, pricing and recommendation decisions often are …