khanhnamle1994/movielens
4 different recommendation engines for the MovieLens dataset.
This helps data scientists or machine learning engineers develop and test different movie recommendation systems. You input a dataset containing movie ratings from users, and it outputs a model capable of suggesting movies to individuals based on their past preferences or similar users. It's designed for those building recommendation features for platforms.
449 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer exploring various approaches to build a movie recommendation engine.
Not ideal if you are looking for a plug-and-play movie recommendation system without needing to understand or modify the underlying code.
Stars
449
Forks
189
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 12, 2019
Commits (30d)
0
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