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movie-recommender-system's Introduction

Movie-Recommender-System

This Project recommend movies to the user using correlation based and Cosine based similarity.

Data MovieLens datasets were collected by the GroupLens Research Project at the University of Minnesota. The dataset can be downloaded from here -- (https://grouplens.org/datasets/movielens/100k/)

This data set consists of:

  • 100,000 ratings (1-5) from 943 users on 1682 movies.
  • Each user has rated at least 20 movies.
  • Simple demographic info for the users (age, gender, oc cupation, zip)

Plot : Count of Ratings : (fig_1) alt text

plot : Count of Ratings Vs Mean(Rating) : (fig_2) alt text

Recommendation for movie "Air Force One" using Correlation based Similarity alt text

Recommendation for movie "Copy cat" using Cosine based Similarity alt text

movie-recommender-system's People

Contributors

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