Large Music Recommendation Studies for Small Teams

TL;DR

This paper discusses the challenges small research teams face when conducting live music recommendation studies without industry partnerships and offers potential solutions to these issues.

Contribution

It provides a detailed account of common problems and practical solutions for small teams to develop music recommendation evaluation systems.

Findings

Identified key challenges in user data, computation, and architecture.

Proposed solutions to streamline small team music recommendation studies.

Shared insights to facilitate future research in small-scale music recommendation evaluations.

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.