Music Recommendations in Hyperbolic Space: An Application of Empirical Bayes and Hierarchical Poincaré Embeddings.
Tim SchmeierSam GarrettJoseph ChisariBrett VintchPublished in: CoRR (2019)
Keyphrases
- empirical bayes
- vector space
- low dimensional
- finite dimensional
- higher dimensional
- multi dimensional scaling
- recommender systems
- euclidean space
- hierarchical structure
- manifold learning
- hilbert space
- infinite dimensional
- lower dimensional
- space time
- collaborative filtering
- face recognition
- artificial intelligence
- hierarchical clustering
- personalized recommendation
- latent space
- user preferences
- music information retrieval
- dimensionality reduction
- high dimensional
- low dimensional spaces