This project uses Apache Spark’s MLlib to implement a collaborative filtering-based movie recommendation system at scale. By leveraging the distributed computing power of Spark, the system can handle large datasets and generate movie recommendations for millions of users. The project demonstrates how big data frameworks can be used to build scalable recommendation systems.
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