Movie Recommender system

  • I’m working on a movie Recommender system project using collaborative filtering algorithm
    *Using python

  • I have a dataset where few movies haven’t rated by any of the user’s .

  • Can you please help me by telling whether to include those movies for training, or should I drop them and not use for training

  • As in the dataset the number of movies are 9742, and the number of unrated movies by any of the user is <20.

I would drop movies that don’t have any ratings in this scenario.

3 Likes

u can simply dropout that columns.