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That's not how you build a recommendation engine... You build a recommendation engine by creating an embedding from each song from which user prefers them, as y
by make3 9y ago
That's not how you build a recommendation engine... You build a recommendation engine by creating an embedding from each song from which user prefers them, as you would for words in word to vec.
This is how Amazon and Youtube do it.
https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf https://static.googleusercontent.com/media/research.google.c...
- krosaen 9y agoCouldn't you view the output of the last layer of the convnet used as the embedding in this case? Yes, this was a different approach than leveraging user preferences, but I don't see why this is inherently the wrong approach.