Context-aware recommender systems in the music domain: A systematic literature review
A Lozano Murciego, DM Jiménez-Bravo… - Electronics, 2021 - mdpi.com
The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …
of great interest in the scientific community, especially in the music domain where contextual …
A hybrid neural network approach to combine textual information and rating information for item recommendation
Collaborative filtering (CF) is a common method used by many recommender systems.
Traditional CF algorithms exploit users' ratings as the sole information source to learn user …
Traditional CF algorithms exploit users' ratings as the sole information source to learn user …
Adversarial mahalanobis distance-based attentive song recommender for automatic playlist continuation
In this paper, we aim to solve the automatic playlist continuation (APC) problem by modeling
complex interactions among users, playlists, and songs using only their interaction data …
complex interactions among users, playlists, and songs using only their interaction data …
Knowing me, knowing you: Datafication on music streaming platforms
R Prey - Big Data und Musik: Jahrbuch für Musikwirtschafts-und …, 2019 - Springer
This chapter explores how data is collected and used to personalise the listening
experience on contemporary streaming platforms. Focusing on Spotify's Discover Weekly …
experience on contemporary streaming platforms. Focusing on Spotify's Discover Weekly …
Collective embedding for neural context-aware recommender systems
FS Costa, P Dolog - Proceedings of the 13th ACM conference on …, 2019 - dl.acm.org
Context-aware recommender systems consider contextual features as additional information
to predict user's preferences. For example, the recommendations could be based on time …
to predict user's preferences. For example, the recommendations could be based on time …
User models for multi-context-aware music recommendation
M Pichl, E Zangerle - Multimedia Tools and Applications, 2021 - Springer
In the last decade, music consumption has changed dramatically as humans have
increasingly started to use music streaming platforms. While such platforms provide access …
increasingly started to use music streaming platforms. While such platforms provide access …
Mining culture-specific music listening behavior from social media data
Incorporating user characteristics and contextual information has shown to be essential
when it comes to personalized music retrieval and recommendation. To this end, the current …
when it comes to personalized music retrieval and recommendation. To this end, the current …
Latent feature combination for multi-context music recommendation
M Pichl, E Zangerle - 2018 International Conference on Content …, 2018 - ieeexplore.ieee.org
In recent years, music aficionados have increasingly been consuming music via public
music streaming platforms. Due to the size of the collections provided, music recommender …
music streaming platforms. Due to the size of the collections provided, music recommender …
A state-of-the-art survey on context-aware recommender systems and applications
In the digital transformation era, increasingly more individuals and organizations use or
create services in digital spaces. Many business transactions have been moving from the …
create services in digital spaces. Many business transactions have been moving from the …