First started out understanding how to do collaborative filtering and was blow away about how cool yet simple it is.
So I made some users and videos with different preferences (users) and topics, quality and thumbnail quality (videos).
Made a simulation of what they click on and how long they watch and then trained the model by letting it tweak the embeddings.
To support new users and videos I needed to also make a system for determining video quality which I achieved with Thompson sampling.
Got some pretty good results and learned a lot.
Would love some feedback on if there are better techniques to check out?
submitted by /u/BarelyThinkingAbout to r/learnmachinelearning
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