Music recommender systems typically offer a “one-size-fits-all” approach with the same user
controls and visualizations for all users. However, the effectiveness of interactive interfaces …

Due to the prominent role of recommender systems in our daily lives, it is increasingly
important to inform users why certain items are recommended and personalize these …

We have become increasingly reliant on recommender systems to help us make decisions
in our daily live. As such, it is becoming essential to explain to users how these systems …

Music streaming services increasingly incorporate different ways for users to browse for
music. Next to the commonly used “genre” taxonomy, nowadays additional taxonomies …

Music recommender systems are a widely adopted application of personalized systems and
interfaces. By tracking the listening activity of their users and building preference profiles, a …

Due to the rise of available online music, a lot of music consumption is moving from
traditional offline media to online sources. Online music sources offer almost an unlimited …

Restrictions imposed to fight the Covid-19 pandemic dramatically changed life. This affected
the entertainment industry with consequences on the demand (consumer behavior in terms …

Emotion perception of music is subjective and time dependent. Most computational music
emotion recognition (MER) systems overlook time-and listener-dependent factors by …

The behavior of users in the digital world, such as online shop** or social media activity, is
increasingly supported by personalized systems, such as recommender systems (Ricci et …

Recommender systems and recommendation technologies are now a familiar part of the
modern information landscape and a routine aspect of our daily lives [23]. Many people …