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Large Music Recommendation Studies for Small Teams
January 31, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Kyle Robinson, Dan Brown
arXiv ID
2301.13388
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.IR,
cs.LG
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
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.
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