Spotify ML Question - Design a Recommendation System (Full mock interview)
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A FanDuel machine learning engineer designs a system for personalizing music recommendations on Spotify: data preparation, metrics, model choices, and production considerations.
0:00 - Intro
1:52 - Data engagement, clicks, users, metadata
6:32 - Building models in batches or real-time
7:05 - Data pipeline design and features overview
9:19 - Data normalization for Spotify users clicks
12:13 - Data cleanup and age group predictions
16:11 - Content filtering and collaborative filtering for recommendation
20:07 - Choosing model, collaborative filtering, pitfalls
21:34 - Importance of training, validation, an…
A FanDuel machine learning engineer designs a system for personalizing music recommendations on Spotify: data preparation, metrics, model choices, and production considerations.
0:00 - Intro
1:52 - Data engagement, clicks, users, metadata
6:32 - Building models in batches or real-time
7:05 - Data pipeline design and features overview
9:19 - Data normalization for Spotify users clicks
12:13 - Data cleanup and age group predictions
16:11 - Content filtering and collaborative filtering for recommendation
20:07 - Choosing model, collaborative filtering, pitfalls
21:34 - Importance of training, validation, an…
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