With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …

The most common way to listen to recorded music nowadays is via streaming platforms,
which provide access to tens of millions of tracks. To assist users in effectively browsing …

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 …

Personality, as defined in psychology, accounts for the individual differences in users'
preferences and behaviour. It has been found that there are significant correlations between …

The task of identifying emotions from a given music track has been an active pursuit in the
Music Information Retrieval (MIR) community for years. Music emotion recognition has …

Podcasts are spoken documents across a wide-range of genres and styles, with growing
listenership across the world, and a rapidly lowering barrier to entry for both listeners and …

The intensification of population aging has brought pressure on public medical care. In order
to reduce this pressure, we combined the image classification method with computer vision …

Music recommender systems play a pivotal role in catering to diverse user preferences and
fostering personalized listening experiences. At the same time, sentiments can profoundly …

Automatic music generation (AMG) has been an emerging research topic in AI in recent
years. However, generating user-preferred music remains an unsolved problem. To address …

Adolescent music preferences revolve around so-called popular music, specifically that
which is highly manipulated by audio and music production technologies and aimed at the …