Machine Learning models are being utilized extensively to drive recommender systems,
which is a widely explored topic today. This is especially true of the music industry, where …

Automated music playlist generation is a specific form of music recommendation. Generally
stated, the user receives a set of song suggestions defining a coherent listening session. We …

Music recommendations are normally based on a users prior artist and genre preference, or
based on a similar users preference. This may result in recommendations for users being …

Music recommender systems have become a key technology supporting the access to
increasingly larger music catalogs in on-line music streaming services, on-line music shops …

As music streaming services dominate the music industry, the playlist is becoming an
increasingly crucial element of music consumption. Con-sequently, the music …

The digitalization of music and the instant availability of millions of tracks on the Internet
require new approaches to support the user in the exploration of these huge music …

Despite advances in deep learning methods for song recommendation, most existing
methods do not take advantage of the sequential nature of song content. In addition, there is …

Music recommender systems are lately seeing a sharp increase in popularity due to many
novel commercial music streaming services. Most systems, however, do not decently take …

State of the art music recommender systems mainly rely on either matrix factorization-based
collaborative filtering approaches or deep learning architectures. Deep learning models …

In recent years, there has been growing focus on the study of automated recommender
systems. Music recommendation systems serve as a prominent domain for such works, both …