ListenBrainz
 | |
Type of site | Music listening tracking service |
|---|---|
| Owner | MetaBrainz Foundation |
| URL | listenbrainz |
| Commercial | No |
| Current status | Online |
ListenBrainz is a free and open source project that aims to crowd source listen data from digital music and release it under an open license.[1] It is a MetaBrainz Foundation project tied to MusicBrainz.
ListenBrainz takes submissions from media players and services such as Music Player Daemon, Spotify, and Rhythmbox in the form of listens. ListenBrainz can also import Last.fm and Libre.fm scrobbles in order to build listening history. As listens are released under an open license, ListenBrainz is useful for music research for industry and development purposes.[2][3]
ListenBrainz can also generate recommendations and playlists based on individual listening.[4]
References[]
- ^ "ListenBrainz Goals". ListenBrainz. Retrieved 13 February 2021.
- ^ Singh, Param; Kamlesh, Dutta; Kaye, Robert; Garg, Suyash (2020). "Music Listening History Dataset Curation and Distributed Music Recommendation Engines Using Collaborative Filtering". Lecture Notes in Electrical Engineering. 605: 623–632. doi:10.1007/978-3-030-30577-2_55. ISBN 978-3-030-30576-5. S2CID 204103568. Retrieved 13 February 2021.
- ^ Yadav, Naina; Singh, Anil (December 2020). "Bi-directional Encoder Representation of Transformer model for Sequential Music Recommender System". Forum for Information Retrieval Evaluation. Fire 2020: 49–53. doi:10.1145/3441501.3441503. ISBN 9781450389785. S2CID 231628582. Retrieved 13 February 2021.
- ^ Porter, Alastair (24 December 2020). "Playlists and personalised recommendations in ListenBrainz". MetaBrainz Blog. MetaBrainz Foundation. Retrieved 13 February 2021.
External links[]
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Categories:
- MusicBrainz
- Free-content websites
- Recommender systems
- Entertainment website stubs
- Music publication stubs