Product Recommendation for Small Medium Enterprises

Personalized recommendation of products is an essential feature in any e-commerce service and is becoming more and more important for SME as well. The main problem for e-shops of SME is to be able to exploit limited amount of data concerning both user interactions and item availability. In this contribution, we describe some approaches based on machine learning techniques that can be exploited even in presence of limited data. They constitute part of a recommendation plugin that is currently developed by INFERENDO srl, an innovative startup which is a spin-off of the University of Piemonte Orientale.