Let's say you have to build a model which recommends movies to a user based on his past watched history and ratings. Below is the sample dataset.

The attributes have the following meaning:

• User ID - ID of the user
• Movie ID - ID of the movie watched by the user
• Rating - Rating given to a movie by the user on the scale of (0-5).

Our task is to build a model which recommends new movies to the user based on his past history and the rating given to various movies.

Which kind of problem is this?