Hybrid Movie Recommender System

Python, Scikit-Learn, Tkinter

- Built a hybrid recommender (TF-IDF content + item-item CF), achieving 80% accuracy on benchmark data - Implemented TF-IDF (genres) + cosine and k-NN over sparse CSR user–item matrices for fast Top-N retrieval - Added α weighting to tune CBF vs CF at runtime, enabling personalized recommendations