This project uses the MovieLens ml-latest-small dataset and user content to train two neural network which ingest two different vectors which are combined via the dot product and subsequently output a single recommendation based upon the predicted rating of a given movie.
wardlow-labs / deep-learning-for-content-based-filtering-recommendation-engine Goto Github PK
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