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This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.

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The goal of this project is to build a movie recommendation system using Non negative regularized matrix factorization without using any Machine Learning libraries on movie lens dataset

🎥 Movie Recommender AI System

Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.

Movie recommendation system with Python. Implements content-based filtering (TF-IDF + cosine similarity), collaborative filtering with matrix factorization (TruncatedSVD), and a hybrid approach. Evaluates with Precision@K, Recall@K, and NDCG. Includes rating distribution plots, top movies, and sa... Read more

Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.

https://youtu.be/7hQhPMPNY6A

It is a movie recommender web application which is developed using the Python.

毕设：基于知识图谱的电影推荐系统