Recommendations under Multi-Product Purchase Behavior

Abstract

We model consumer behavior wherein users select multiple items from the offered recommendations. We then formulate and solve an optimization problem that computes the best recommendation sets that the e-commerce platform should display to maximize its expected revenues. Numerical simulations show the scalability of our approach in real-world settings.