What you're describing is also an "A.I". It's called collaborative filtering, an... | Hacker News

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		halflings on Aug 2, 2017 \| parent \| context \| favorite \| on: Building a Music Recommender with Deep Learning What you're describing is also an "A.I". It's called collaborative filtering, and your algorithm (picking top 3 of the 1000 most similar users) would give results heavily biased towards popular songs, there are better approaches in that field.

wellboy on Aug 2, 2017 [–]

Yes, all algorithms are A.I. in that case.

My 1 min effort description would be biased towards popular songs, but you can easily change that by selecting songs that are not popular, but that occupy a lot of playtime with a user.

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