Youness Soussou

A Multi-Source Retrieve-Fuse-Rerank System for Conversational Music Recommendation

The ablation study shows that the contextual and utterance dense retrievers provide the largest gains in candidate coverage, while structural retrieval also improves the final ranking, and the benefit of combining complementary retrieval signals with a learned reranker for conversational music recommendation.