This repository contains the code along with the data for a movie recommender system using user based collaborative filtering.
Data has been splitted manually into training and test sets just to check the accuracy of the model. Accuracy: around 92%.
The program takes userID as input and recommends 5 movies that the user would like to see based on the ratings of the other similar users.
Folders and files
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