We study a multi-period network revenue management (RM) problem where a seller sells multiple products made from multiple resources with finite capacity in an environment where the demand function is unknown a priori. The objective of the seller is to jointly learn the demand and price the...

We consider a monopoly firm that aims to maximize its total revenue over a finite horizon by optimizing the assortments across different periods. Customers make their purchase decisions according to a variant of the classical MNL model that incorporates popularity bias. We assume that the...