Movie Recommender System (Collaborative Filtering)
Datasets can be downloaded here
About
Movie recommendation system based on user ratings. Using collaborative filtering method with Singular Value Decomposition to handle the scalibility and sparsity issue created by sparse matrix The purpose of this project was to meet the requirement to pass Data Science Course besides getting to know more how to build a machine learning model and getting familiar with python and its libraries such as numpy, pandas and scikit.
Acknowledgement
Our sincere thanks to Dr. Raini Hassan for her helpful guidance towards completing the course project. Special thanks to article writers for such inspiration and clear explanation throughout the development of the model. References and links are provided below:
- ecbenezra's various kind of movie recommender system - https://github.com/ecbenezra/recommender-system
- Content filtering movie recommender - https://medium.com/data-science-101/movie-recommendation-system-content-filtering-7ba425ca0920
- Getting Started with a Movie Recommendation System - https://www.kaggle.com/ibtesama/getting-started-with-a-movie-recommendation-system/data