In this paper, we present a personalized recommender system able to suggest to the target
user itineraries that both meet her preferences and needs, and are sensitive to her physical …

In this paper, we propose an approach based on the integration of a chatbot module, a
location-based service, and a recommendation algorithm. This approach has been …

One of the major problems facing our cities is the disposal of the huge amount of waste
produced every day. A possible solution is represented by recycling. In this article, we …

Followee recommendation is a problem rapidly gaining importance in Twitter as well as in
other micro-blogging communities. Hence, understanding how users select whom to follow …

With the increasing information overload, the identification of new users really relevant to the
target user becomes more and more complicated. In this paper, we propose a social …

In this article, we propose a system able to implicitly assess a user's expertise in a particular
topic based on her publications (eg, scientific papers) on it and available through online …

In this paper, we propose a system for extracting, storing, and analyzing the data provided
by three well-known and widespread services available online. More specifically, the system …

Social Networks have shown great growth relating the number of their users and generated
content. For example, Twitter is used as a means to gather support, express ideas and …

Las redes sociales digitales se han convertido sin dudas en una de las aplicaciones más
populares de Internet y atraen a millones de usuarios que, de forma implícita, generan …

Recommender Systems (RSs) are software tools and techniques providing suggestions for
items to be of use to a user. The suggestions is regarding various decision-making …