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| Name | How Does Spotify Recommend Music? |
| Video Uploader | Video From Valerio Velardo - The Sound of AI |
| Upload Date | This Video Uploaded At 31-01-2022 10:17:39 |
| Video Discription | Learn how Discover Weekly recommends Spotify users interesting tracks every Monday. You’ll learn about different recommendation methods such as collaborative filtering, content-based filtering, and audio-based filtering. You’ll also get an idea of their drawbacks and how engineers at Spotify have overcome them. ========================= Interested in hiring me as a consultant? https://valeriovelardo.com/ Join The Sound Of AI Slack community: https://valeriovelardo.com/the-sound-of-ai-community/ Connect with Valerio on Linkedin: https://www.linkedin.com/in/valeriovelardo/ Follow Valerio on Facebook: https://www.facebook.com/TheSoundOfAI Follow Valerio on Twitter: https://twitter.com/musikalkemist ========================= Chapters: 0:00 Spotify 0:43 Discover Weekly 1:32 Recommendation systems 2:16 How does Discover Weekly work? 3:19 Collaborative filtering 6:05 Content-based filtering 8:06 Audio-based filtering 9:58 Combining filtering approaches 10:25 Advanced music recommendation techniques 11:03 Challenge + outro [SEkIy7V8Lks] |
| Category | Science & Technology |
| Tags | spotify music recommendation | spotify reccomendation | discover weekly | collaborative filtering | song recommendations | content based filtering | MIR | machine learning | AI audio | AI music | music recommendation systems | spotify |
