Current challenges and visions in music recommender systems research

M Schedl, H Zamani, CW Chen, Y Deldjoo… - International Journal of …, 2018 - Springer
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

Music recommender systems

M Schedl, P Knees, B McFee, D Bogdanov… - Recommender systems …, 2015 - Springer
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 …

Listener modeling and context-aware music recommendation based on country archetypes

M Schedl, C Bauer, W Reisinger, D Kowald… - Frontiers in Artificial …, 2021 - frontiersin.org
Music preferences are strongly shaped by the cultural and socio-economic background of
the listener, which is reflected, to a considerable extent, in country-specific music listening …

The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study

M Liu, X Hu, M Schedl - PloS one, 2018 - journals.plos.org
Music listening is an inherently cultural behavior, which may be shaped by users'
backgrounds and contextual characteristics. Due to geographical, socio-economic …

MORec: At the crossroads of context-aware and multi-criteria decision making for online music recommendation

IB Sassi, SB Yahia, I Liiv - Expert Systems with Applications, 2021 - Elsevier
Context-aware recommender systems have received considerable attention from industry
and academic areas. In this paper, we pay heed to the growing interest in integrating context …

Background music recommendation based on latent factors and moods

CL Liu, YC Chen - Knowledge-Based Systems, 2018 - Elsevier
Many mobile devices are equipped with video shooting function, and users tend to use
these mobile devices to produce user generated content (UGC), and share with friends or …

Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services

B Ferwerda, E Yang, M Schedl, M Tkalcic - Multimedia tools and …, 2019 - Springer
Music streaming services increasingly incorporate different ways for users to browse for
music. Next to the commonly used “genre” taxonomy, nowadays additional taxonomies …

Librosa based assessment tool for music information retrieval systems

P Raguraman, R Mohan… - 2019 IEEE Conference on …, 2019 - ieeexplore.ieee.org
Music is possibly the most impactful bonding over the society and culture. The process of
perusing the music in classrooms is considered as a costly affair for the humans in rural …

The impact of COVID-19 on online music listening behaviors in light of listeners' social interactions

M Ghaffari, GF Khan, SP Singh, B Ferwerda - Multimedia Tools and …, 2024 - Springer
This study investigated the global changes in online music listening behaviors in response
to COVID-19 and its restrictions (such as quarantine, school and workplace closures, and …

User awareness in music recommender systems

P Knees, M Schedl, B Ferwerda… - Personalized human …, 2019 - degruyter.com
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 …