4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Content-based Music Similarity with Triplet Networks
Joseph Cleveland, Derek Cheng, Michael Zhou +2
We explore the feasibility of using triplet neural networks to embed songs based on content-based music similarity. Our network is trained using triplets of songs such that two son…
cs.IR2019★ 2 cited
Evaluating Recommender System Algorithms for Generating Local Music Playlists
Daniel Akimchuk, Timothy Clerico, Douglas Turnbull
We explore the task of local music recommendation: provide listeners with personalized playlists of relevant tracks by artists who play most of their live events within a small geo…
cs.IR2018★ 4 cited
Local Music Event Recommendation with Long Tail Artists
Douglas Turnbull, Luke Waldner
In this paper, we explore the task of local music event recommendation. Many local artists tend to be obscure long-tail artists with a small digital footprint. That is, it can be h…