Large Music Recommendation Studies for Small Teams
Human-Computer Interaction
2023-02-01 v1 Information Retrieval
Machine Learning
Abstract
Running live music recommendation studies without direct industry partnerships can be a prohibitively daunting task, especially for small teams. In order to help future researchers interested in such evaluations, we present a number of struggles we faced in the process of generating our own such evaluation system alongside potential solutions. These problems span the topics of users, data, computation, and application architecture.
Cite
@article{arxiv.2301.13388,
title = {Large Music Recommendation Studies for Small Teams},
author = {Kyle Robinson and Dan Brown},
journal= {arXiv preprint arXiv:2301.13388},
year = {2023}
}