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In an Internet of Things vision of smarts museums, recommendation systems based on collaborative filtering approaches can be exploited in the context of providing personalized artworks tours. In this work, we address the problem of generating and then recommending an artworks sequence for a group of visitors within a museum. Differently from a recommender system for an e-commerce application, the...
The main objective of our work is to demonstrate how recommender systems can be deployed to enhance access to museum collections. Visitors of museums are often overwhelmed by the information available in the space they are exploring. Therefore, finding relevant artworks to see in a limited amount of time is a crucial task. In this paper, we present a recommender system for mobile devices that (1)...
The ever more widespread use of the Web for knowledge sharing has led to the creation of a wide spectrum of opportunities for employing shared information resources and, at the same time, a gradual increase in the technologies for making these resources available. In this scenario, it is important to define new methods and techniques that can support users' search activities and selection of the resources...
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