Skip to main content

Algorithic mixes developed by the TIDAL personalization team.

Project description

Tidal algorithmic mixes

This contains the logic of how tidal create its algorithmic offline mixes, how it utilizes different machine learning models, alongside business rules to create different mixes for different use cases, included personalized mixes (like my mix, my new arrivals and daily discovery) and non-personalized like track radio and artist radio.

  • Make sure you have pyenv and pyenv amd pyenv-virtualenv installed on your local environment.
  • Install python 3.10.13 with pyenv pyenv install 3.11.13.
  • Set up a new virtual env pyenv virtualenv 3.10.13 mixes
  • Set local pyenv version pyenv local mixes
  • Activate the virtual pyenv using pyenv activate mixes
  • Upgrade the pip package installer python -m pip install --upgrade pip
  • Install poetry for package management python -m pip install poetry==1.7.1
  • Install dependencies from the lock file poetry install --no-root

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tidal_algorithmic_mixes-0.1.7.tar.gz (17.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tidal_algorithmic_mixes-0.1.7-py3-none-any.whl (30.1 kB view details)

Uploaded Python 3

File details

Details for the file tidal_algorithmic_mixes-0.1.7.tar.gz.

File metadata

  • Download URL: tidal_algorithmic_mixes-0.1.7.tar.gz
  • Upload date:
  • Size: 17.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for tidal_algorithmic_mixes-0.1.7.tar.gz
Algorithm Hash digest
SHA256 1690137c2b5cba56b4fe56bbb2ab8fc7676d1f893a7d9b8baafc260738df8e49
MD5 1e5f7a9311de2ea8d14890907b5fc96e
BLAKE2b-256 904c5c8532f17fd599b901797be71c9bac8b3664de89f9f309369218f64836ca

See more details on using hashes here.

File details

Details for the file tidal_algorithmic_mixes-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for tidal_algorithmic_mixes-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 51d4068055118c80fe632e837f0e46f09e0b3d9f4dd08c5669a00fe6111589f1
MD5 81fc5e312b00676c90c06f1be1ac56bf
BLAKE2b-256 33cad78d8aabb37aedcbba3d615287aca6e794bba059fb8730d23ce9650eb0ef

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page