2 papers
cs.IR2020
Quick Lists: Enriched Playlist Embeddings for Future Playlist Recommendation
Brett Vintch
Recommending playlists to users in the context of a digital music service is a difficult task because a playlist is often more than the mere sum of its parts. We present a novel me…
cs.IR2019
Music Recommendations in Hyperbolic Space: An Application of Empirical Bayes and Hierarchical Poincaré Embeddings
Tim Schmeier, Sam Garrett, Joseph Chisari +1
Matrix Factorization (MF) is a common method for generating recommendations, where the proximity of entities like users or items in the embedded space indicates their similarity to…