Large Music Recommendation Studies for Small Teams
This work is incremental, providing guidance for researchers in music recommendation systems.
The paper addresses the challenges small teams face in conducting live music recommendation studies without industry partnerships, detailing the struggles encountered and proposing potential solutions across users, data, computation, and application architecture.
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.