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Implement the item-item collaborative filtering algorithm and apply it to a dataset containing movie ratings.
the input given is a user-id, movie-id, and compute the predicted rating for that user-id for the input movie-id and print out the predicted rating. Used neighborhood of K movies for computing the predicted rating.

To run the program:

1) At the ML_Project folder in terminal type: python3 project_file_name data_file_name
example: $ python3 Project.py data.txt

2) Just type in existing user_id, movie_id in the data file for inputs.

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