Recommender Systems in the Museum Sector: An Overview

Abstract

Recommendation Systems are used in hundreds of applications, each with particular rules, with affinity and, at times, points of departure from pure recommendation. The applications we will analyze often exploit hybrid approaches, attempting to reduce or completely eliminate the negative effects of pure methods. The first factor to consider when designing a Recommendation System is the application domain, as it has an important effect on the algorithmic approach that should be adopted. In this paper we provide an overview of the typologies of recommender systems that are applied in the museum sector.