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Movie Recommendation System created using Collaborative Filtering (Website) based on Genres

License: MIT License

Jupyter Notebook 94.77% Python 1.37% HTML 3.86%
movie-recommendation genres movie-recommendation-system knn-classification correlation matrix-factorization easy-to-use website website-development completed-project

movie-recommendation-website-based-on-genre's Introduction

Movie Recommendation System (Website) based on Genre

Movie Recommendation System created using Collaborative Filtering (Website) based on Genres

Objectives

  1. To create a movie recommendation system using Collaborative Filtering and machine learning algorithms such as K Nearest Neighbours.
  2. The system should recommend Top 10 movies based on the genre entered by the user.

Dataset can be accessed from here.

For redcuing the deployment time, data exploration followed by feature selection is done on the complete dataset.

Website Implementation

Steps of Code Execution

  1. Clone this repository
  2. Unzip the downloaded folder
  3. In cmd, trace to the path of the folder
  4. Type python project.py to execute the program on the link provided.

References

For more aditionally features and advance implementation of a Movie Recommendation System, visit here.

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