Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …

The proliferation of e-commerce sites and online social media has allowed users to provide
preference feedback and maintain profiles in multiple systems, reflecting a variety of their …

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 …

Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

Rapid advances in mobile devices and cloud-based music service now allow consumers to
enjoy music anytime and anywhere. Consequently, there has been an increasing demand in …

Current music recommender systems typically act in a greedy manner by recommending
songs with the highest user ratings. Greedy recommendation, however, is suboptimal over …

The paper presents a focused survey about the presence and the use of the concept of
“preferences” in Artificial Intelligence. Preferences are a central concept for decision making …

In recent years, several music recommendation systems have been developed with the aim
of incorporating valuable information into the user's modeling and recommendation process …

With the popularity of online music services, personalized music recommendation has
garnered much research interest. Recommendation models are typically trained on datasets …