Spotify - Personalising the Listening Experience - Mounia Lalmas

Spotify - Personalising the Listening Experience - Mounia Lalmas

Alan Turing Institute via YouTube Direct link

Towards personalizing with respect to success

12 of 18

12 of 18

Towards personalizing with respect to success

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Spotify - Personalising the Listening Experience - Mounia Lalmas

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  1. 1 Intro
  2. 2 What does it mean to match fans and artists in a personal and relevant way?
  3. 3 Datasets and shared tasks
  4. 4 Making machine learning work for Spotify Home
  5. 5 BaRT (Bandits for Recommendations as Treatments)
  6. 6 BaRT: Multi-armed bandit algorithm for Home
  7. 7 Success is captured by the reward function
  8. 8 Personalizing the reward function
  9. 9 Most frequent genre in co-clusters
  10. 10 Reward function (success) per co-cluster
  11. 11 Experiments
  12. 12 Towards personalizing with respect to success
  13. 13 User intents on Home
  14. 14 Modeling user intents for Home
  15. 15 Towards personalizing with respect to user intents
  16. 16 The interplay between relevance, diversity & satisfaction
  17. 17 Towards personalizing with respect to diversity
  18. 18 Personalizing the listening experience

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