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