Mixtape Application: Music Map Methodology and Evaluation
Pedro H. F. Holanda, Bruno Guilherme, Luciana Fujii Pontello, Olga Goussevskaia, Ana Paula Couto e Silva
arXiv:1605.08494v21 citations
Originality Synthesis-oriented
AI Analysis
This work addresses music recommendation systems, but it appears incremental as it focuses on evaluating existing techniques without introducing new methods.
The paper tackled the problem of creating a music map for song recommendations by evaluating dimensionality reduction techniques, specifically Isomap and L-Isomap, to represent song similarities based on distances.
This report discusses dimensionality reduction techniques used to create a music map - a map where the distances between songs represent their similarity and that can be used to recommend songs. We evaluate two techniques: Isomap and L-Isomap.