Recommender Systems Motivation

Let us assume that we measure the similarity between two users by the rankings that they gave to movies that

both of them have already watched. What information will a recommender system $($as described in the video$)$

directly use in order to predict the ranking of a user to a specific movie? $($Choose all that apply.$)$

rankings of other users to other movies and to the examined movie

rankings that the user gave to other movies

the category of the specific movie

average rankings $($from all users$)$ for movies with the same director