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# How to Build a Movie Recommendation System Based on Collaborative Filtering

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 8 min read · 22 upvotes · 0 comments

## Summary

Learn how to build a movie recommendation system based on collaborative filtering using Python. Understand the different types of recommendation systems, prepare and process the movies dataset, and define and train the model using K-nearest neighbors. Get personalized recommendations based on user behavior and discover the advantages and limitations of collaborative filtering.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/how-to-build-a-movie-recommendation-system-based-on-collaborative-filtering/>

---

Tags: [#data-processing](https://daily.dev/tags/data-processing), [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#recommendation-systems](https://daily.dev/tags/recommendation-systems)

[View this post on daily.dev](https://daily.dev/posts/how-to-build-a-movie-recommendation-system-based-on-collaborative-filtering-iclvtk1id)

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