An introduction to and motivation of recommendation systems. We discuss the "dumb" and "smart" ways recommendations can be done (ranking, collaborative filtering, etc.)
We will talk further on collaborative filtering ( matrix factorization ( and embeddings ( in the next set of videos.
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