In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …

Abstract In the Big Data era, every sector has adapted to technological development to
service the vast amount of information available. In this way, each field has benefited from …

In the Internet era, where information and communication technologies (ICT) allow data
exchange, new tools able to select the correct data are needed. In this field, Recommender …

The spread of the COVID 19 virus has dramatically impacted global society by modifying its
lifestyle. Social networks, video streaming tools, virtual collaborative environments have …

Movie recommender systems are meant to give suggestions to the users based on the
features they love the most. A highly performing movie recommendation will suggest movies …

The world of distance education is constantly expanding, enriching itself with tools and
services to increase the ability to provide training content. Due to the new technologies, the …

The world of Cultural Heritage finds significant ad-vantages from fusion with new
technologies. For example, the use of Recommender Systems to analyze contextual …

In this chapter, digital storytelling is examined as means of cultural heritage preservation by
focusing on personal attachment to stories themselves. In the contemporary digital society …

This article presents an e-learning system that supports the adaptation of course content to
the student's way of learning. The adaptability of an e-learning course is a challenging task …

Recommender systems (RS) are widely used to analyze and filter information supporting an
individual's choice of a service or a specific object. The RS developed considerably in the …