1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2026★ 1 cited
Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems
Yan-Martin Tamm, Anna Aljanaki
Over the years, Music Information Retrieval (MIR) research community has released various models pretrained on large amounts of music data. Transfer learning showcases the proven e…
cs.IR2026
Leveraging Artist Catalogs for Cold-Start Music Recommendation
Yan-Martin Tamm, Gregor Meehan, VojtÄch Nekl +4
The item cold-start problem poses a fundamental challenge for music recommendation: newly added tracks lack the interaction history that collaborative filtering (CF) requires. Exis…
cs.IR2024
Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
Yan-Martin Tamm, Anna Aljanaki
Over the years, Music Information Retrieval (MIR) has proposed various models pretrained on large amounts of music data. Transfer learning showcases the proven effectiveness of pre…