Multimodal Music Recommender Jointly Models Audio, Lyrics, and Engagement in One LLM Framework

A session-based music recommendation framework combines audio embeddings, lyric embeddings, and LLM-generated semantic metadata within a single sequential reasoning pipeline on the LastFM-1K dataset. Prior work combined at most two of these signal types; this is the first to unify all three in an LLM-based architecture.