Machine Learning Process

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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.


Movie Ratings


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?


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