Movie recommendation system using content-based and collaborative filtering.
Home Page: https://goo.gl/iKXS4u
In this project, I try three types of recommendation engines for movies from the Full MovieLens Dataset, which includes meta_data and ratings datasets. The datasets can be found on Kaggle.
The first dataset I use, meta_data, contains 45000 movies. I analyze it for the selection of top movies and content-based filtering system. I build a collaborative filtering engine using the second dataset, ratings, which I only analyze 20000 rows because of the limitation of my laptop.
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