Movie-Recommendation-Engine

The optimization problem is approached through various formulations, including convex optimization and matrix factorization methods. The challenges of high dimensionality and computational complexity are addressed, leading to the development of a practical optimization problem that involves stochastic gradient descent (SGD). The project encompasses data pre- processing, optimization, evaluation, feature extraction, and fairness analysis, providing a comprehensive exploration of recommendation system details.