Learning consumer preferences from bundle sales data

N Chen, S Farajollahzadeh, G Wang - arXiv preprint arXiv:2209.04942, 2022 - arxiv.org
Product bundling is a common selling mechanism used in online retailing. To set profitable
bundle prices, the seller needs to learn consumer preferences from the transaction data …

Bounds and Heuristics for Multiproduct Pricing

G Gallego, G Berbeglia - Management Science, 2024 - pubsonline.informs.org
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 …

Non-autoregressive Personalized Bundle Generation

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 …

Learning Customer Preferences from Bundle Sales Data

N Chen, S Farajollahzadeh, G Wang - Available at SSRN 4467829, 2023 - papers.ssrn.com
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 …

Collaborative Learning and Decision-Making on Pricing and Recommendation: A Simple Framework for Planning

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 …