AI RIYL Music Recommendations

Architected an LLM-driven music recommendation engine that moves beyond traditional collaborative filtering into a high-dimensional generative model. By treating individual listening histories as dynamic data inputs, the system facilitates the emergent recombination of Recommended If You Like (RIYL) associations through a pollination-inspired propagation model.