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RecommendationSystems

Overview:

This project focuses on building a personalized product recommendation system using Amazon's product ratings dataset. The system implements different recommendation models, including Rank-based Recommendation Systems, User-User and Item-Item Collaborative Filtering, and Matrix Factorization (SVD), to suggest products to users based on their previous interactions.

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