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 …

Conversational recommender systems (CRS) have become popular in recent years and
have gained the attention of researchers. More emphasis is given to user choices and …

This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …

Although widely used, the majority of current music recommender systems still focus on
recommendations' accuracy, user preferences and isolated item characteristics, without …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Abstract Conversational Recommender Systems (CoRSs) implement a paradigm that allows
users to interact in natural language with the system for defining their preferences and …

Providing suitable recommendations is of vital importance to improve the user satisfaction of
music recommender systems. Here, users often listen to the same track repeatedly and …

Related item recommenders operate in the context of a particular item. For instance, a music
system's page about the artist Radio-head might recommend other similar artists such as …

The rapid development of the Internet has led to the emergence of massive amounts of
music. In order to make people hear their favorite music more accurately, various …

Diversity is a concept relevant to numerous domains of research varying from ecology, to
information theory, and to economics, to cite a few. It is a notion that is steadily gaining …