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Updated README

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emeric
2019-03-23 15:22:39 +01:00
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README.md
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@@ -8,10 +8,11 @@ A [demo](http://lms.demo.poupon.io) instance is available, with the following li
## Main features ## Main features
LMS provides several ways to help you find the music you like: LMS provides several ways to help you find the music you like:
- Tag-based filters - Tag-based filters (ex: "Metal" and "Aggressive", "Electronic" and "Relaxed", ...)
- Recommendations for similar artists and albums - Recommendations for similar artists and albums
- Radio mode - Radio mode
- Searches in album, artist and track names - Searches in album, artist and track names
- Most played/Recently added music
Conventional features include: Conventional features include:
- Responsive design - Responsive design
@@ -19,13 +20,13 @@ Conventional features include:
- User management - User management
- MusicBrainzID support to handle duplicated artist and release names - MusicBrainzID support to handle duplicated artist and release names
- Audio transcode for maximum interoperability and low bandwith requirements - Audio transcode for maximum interoperability and low bandwith requirements
- Multi value tags - Multi-value tags
- Custom tag support - Custom tag support (ex: "mood", "genre", "albummood", "albumgrouping", ...)
The recommendation engine makes use of [Self-Organizing Maps](https://en.wikipedia.org/wiki/Self-organizing_map)</br> The recommendation engine makes use of [Self-Organizing Maps](https://en.wikipedia.org/wiki/Self-organizing_map).</br>
Please note this engine: Please note this engine:
- may require some significant computation time on large datasets. - may require some significant computation time on very large datasets
- makes use of computed data available on [AcousticBrainz](https://acousticbrainz.org/). Therefore your music must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work. - makes use of computed data available on [AcousticBrainz](https://acousticbrainz.org/). Therefore your music must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work properly
## Installation ## Installation
Here are the required packages to build on Debian Stretch: Here are the required packages to build on Debian Stretch: