Musical attributes, cultural dimensions, social media: Insights for marketing music to consumers
Cash-strapped music entrepreneurs use social media to establish deep connections with
listeners but often lack resources to pursue marketing. Here, we present a disintermediated …
listeners but often lack resources to pursue marketing. Here, we present a disintermediated …
Exploiting negative preference in content-based music recommendation with contrastive learning
Advanced music recommendation systems are being introduced along with the
development of machine learning. However, it is essential to design a music …
development of machine learning. However, it is essential to design a music …
Assisted music creation with flow machines: towards new categories of new
This chapter reflects on about 10 years of research in AI-assisted music composition, in
particular during the Flow Machines project. We reflect on the motivations for such a project …
particular during the Flow Machines project. We reflect on the motivations for such a project …
On skip** behaviour types in music streaming sessions
The ability to skip songs is a core feature in modern online streaming services. Its
introduction has led to a new music listening paradigm and has changed the way users …
introduction has led to a new music listening paradigm and has changed the way users …
Inter-subject EEG correlation reflects time-varying engagement with natural music
Musical engagement can be conceptualized through various activities, modes of listening,
and listener states—among these a state of focused engagement. Recent research has …
and listener states—among these a state of focused engagement. Recent research has …
Catering to the impatient digital listener: Accelerated composition patterns in popular music, 1986–2020
C Klimmt, M Sperzel, J Straßburger, V Winkler… - …, 2024 - journals.sagepub.com
The present study explored trends of compositional acceleration in top hit songs as a
potential consequence of streaming platforms and digital habits of music consumption. Many …
potential consequence of streaming platforms and digital habits of music consumption. Many …
Why people skip music? On predicting music skips using deep reinforcement learning
Music recommender systems are an integral part of our daily life. Recent research has seen
a significant effort around black-box recommender based approaches such as Deep …
a significant effort around black-box recommender based approaches such as Deep …
Towards a new interface for music listening: A user experience study on youtube
In light of the enduring success of music streaming services, it is noteworthy that an
increasing number of users are positively gravitating toward YouTube as their preferred …
increasing number of users are positively gravitating toward YouTube as their preferred …
Analysing Privacy Policies and Terms of Use to understand algorithmic recommendations: the case studies of Tinder and Spotify
The algorithmic recommendations used by digital platforms have significant impacts on
users behaviours and preferences. For instance, Spotify and Tinder ground their platforms …
users behaviours and preferences. For instance, Spotify and Tinder ground their platforms …
Inter‐subject correlation of electroencephalographic and behavioural responses reflects time‐varying engagement with natural music
Musical engagement can be conceptualized through various activities, modes of listening
and listener states. Recent research has reported that a state of focused engagement can be …
and listener states. Recent research has reported that a state of focused engagement can be …