Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

The connected car—a vehicle capable of accessing to the Internet, of communicating with
smart devices as well as other cars and road infrastructures, and of collecting real-time data …

Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …

We present a machine learning algorithm for building classifiers that are comprised of a
small number of short rules. These are restricted disjunctive normal form models. An …

The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …

Context aware recommender systems (CARS) adapt the recommendations to the specific
situation in which the items will be consumed. In this paper we present a novel context …

The amount of touristic and travel information existing on the Internet is overwhelming.
Recommender systems are typically used to filter irrelevant information and to provide …

Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …

This chapter gives an introduction to music recommender systems research. We highlight
the distinctive characteristics of music, as compared to other kinds of media. We then …

Increasing amount of online music content has opened new opportunities for implementing
new effective information access services–commonly known as music recommender …