Interactive Learning with Smart Pricing for Optimal and Stable Allocations in Markets

We study the joint effect of pricing and recommendations in markets such as AirBnB, Uber, Doordash, Amazon, eBay, etc. We develop an efficient algorithm to minimize customer dissatisfaction and market instability in a repeated learning setting by integrating techniqes such as collaborative filtering, explore and exploit, and bidding protocols for optimal resource allocation.