Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
A survey of music similarity and recommendation from music context data
In this survey article, we give an overview of methods for music similarity estimation and
music recommendation based on music context data. Unlike approaches that rely on music …
music recommendation based on music context data. Unlike approaches that rely on music …
Machine learning for music genre: multifaceted review and experimentation with audioset
Music genre classification is one of the sub-disciplines of music information retrieval (MIR)
with growing popularity among researchers, mainly due to the already open challenges …
with growing popularity among researchers, mainly due to the already open challenges …
# nowplaying music dataset: Extracting listening behavior from twitter
The extraction of information from online social networks has become popular in both
industry and academia as these data sources allow for innovative applications. However, in …
industry and academia as these data sources allow for innovative applications. However, in …
Towards a context-aware music recommendation approach: What is hidden in the playlist name?
New distribution channels like music streaming platforms paved way for making more and
more diverse music available to users. Thus, music recommender systems got in the focus of …
more diverse music available to users. Thus, music recommender systems got in the focus of …
[PDF][PDF] The million musical tweets dataset: What can we learn from microblogs
ABSTRACT Microblogs and Social Media applications are continuously growing in spread
and importance. Users of Twitter, the currently most popular platform for microblogging …
and importance. Users of Twitter, the currently most popular platform for microblogging …
Towards context-sensitive collaborative media recommender system
With the rapid increase of social media resources and services, Internet users are
overwhelmed by the vast quantity of social media available. Most recommender systems …
overwhelmed by the vast quantity of social media available. Most recommender systems …
Location-aware music artist recommendation
M Schedl, D Schnitzer - … Conference, MMM 2014, Dublin, Ireland, January …, 2014 - Springer
Current advances in music recommendation underline the importance of multimodal and
user-centric approaches in order to transcend limits imposed by methods that solely use …
user-centric approaches in order to transcend limits imposed by methods that solely use …
Understanding playlist creation on music streaming platforms
Music streaming platforms enable people to access millions of tracks using computers and
mobile devices. The latter allow users consume different music during different activities …
mobile devices. The latter allow users consume different music during different activities …