In many online platforms, customers' decisions are substantially influenced by product
rankings as most customers only examine a few top-ranked products. Concurrently, such …

We consider joint learning and optimization problems under a general Cascade Click
model. Under this model, customers examine the products in a decreasing order of display …

Empirical evidence suggests that consumers commonly focus their attention on a subset of
available products and evaluate them in batches to identify a satisfactory option. To capture …

Live-streaming advertising in e-commerce is soaring. Both Amazon and Alibaba have
employed this novel marketing model to engage consumers by sequentially exhibiting …

In online platforms, the reviews posted by existing consumers are playing an increasingly
important role in the purchasing decisions of potential consumers. Motivated by this …

Due to its immense importance in retail, extensive research has been devoted to studying
assortment and price optimization problems. Most papers in this domain employ context …

In e-commerce, product ranking and display affect customer choices and sales as items
placed in top positions receive significantly more clicks than items placed at the bottom. For …

We study dynamic pricing under a stochastic, non-linear, self-exciting demand arrival
process over a finite sales horizon. We adopt such a correlated demand process to capture …

Abstract Too Good To Go (TGTG) has emerged as a global leader in reducing food waste by
connecting consumers with retailers' surplus food through" surprise bags." While TGTG …

We study the assortment optimization problem under the newly proposed cascade browse
model. We propose a constant approximate solution to this problem. As a byproduct, we …