Scholar

Jan Van Balen

Google Scholar ID: H0oIMigAAAAJ

Spotify

Music Information RetrievalRecommender SystemsDigital Musicology

Citations & Impact

All-time

Citations

199

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Published multiple papers in top venues including The Web Conference, ACM RecSys, ICML Workshop, ISMIR, and CMMR
2021: Co-authored 'High-dimensional Sparse Embeddings for Collaborative Filtering' with Bart Goethals
2019: Proposed PQ-VAE with Mark Levy for efficient recommendation; contributed to NPR (Neural Personalised Ranking) project
2016: Completed PhD thesis 'Audio Description and Corpus Analysis of Popular Music'
2013–2015: Published work on chorus analysis, cover song retrieval, and audio bigram models at ISMIR and CMMR

Background

Machine learning researcher at Spotify
Interested in machine learning on audio and graphs
Spent time at University of Antwerp, Belgium in 2020
Previously worked at Apple in London
Research topics include recommender systems, content ID (audio fingerprinting, cover ID, sample ID), music corpus analysis, and information retrieval

Co-authors

13 total