⇒ So with this framework for recommended systems one possible way to approach the problem is to look at the movies that users have not rated. And to try to predict how users would rate those movies because then we can try to recommend to users things that they are more likely to rate as five stars.
⇒ So let's take a look at how we can develop a recommender system if we had features of each item, or features of each movie.
