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Ok so write your own. Mine YouTube URLs from the web, take the context they arise in, and use that to build a recommendation engine.



I mean really, it's elementary


without user history to build a video similarity embedding with PCA from the user to video click matrix (or word2vec like click prediction), you would have to build something like .. topic based page rank.. and then show the highest ranked videos per topic.. that would require a fucking lot of mining




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