Netflix's Metaflow: Reproducible machine learning pipelines

Re:Netflix's Metaflow: Reproducible machine learning pipelines by octostone on Monday December 21, 2020 @03:06PM (#25498929)

Unless I’m missing this functionality somewhere (entirely possible), this lack of user-tuning has ruined Spotify recs for me, since I listen to entirely different playlists when working or meditating. I don’t check out recommendations to get the latest binaural beats or nature sounds, you know?

Although even before I started listening to Spotify while working etc, it seemed to have run out of things to recommend. My weekly discover playlist would be half things I’d already liked. So...who knows. But I miss the discovery functionality quite a bit.

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Re:Netflix's Metaflow: Reproducible machine learning pipelines by jointpdf on Monday December 21, 2020 @04:16PM (#25499666)

I personally have a similar problem with the Spotify generated playlists, but I have persnickety preferences in electronic music so it often whiffs. But on the spectrum of recommendation engines it is on the side of honest effort (whereas Netflix is not). And for most users and musical palates I think it works great. Just yesterday my mom complimented me on my Christmas music DJ skills, but it was just the generated continuation of her own playlist.

Nothing really beats the recommendations of a human curator with exquisite taste, and just listening to new music nonstop and plucking out the gems as you go.

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