Implementation of a Hybrid Two-Tower Architecture for Music Recommendation. Solves cold-start problems by integrating content-based multimodal encoders with sequential user modeling.

A fully implemented AI Template Kit for building, understanding, and deploying real-world recommendation systems. Covers collaborative filtering, matrix factorization, content-based models, deep learning approaches. Includes ready-to-use code, service deployment logic, evaluation workflows, and step-by-step explanations.