Industry Planted: Investigation into the Promotion of Local Music Events using Content-Based Spotify Streaming Data

The local music scene has seen a decline in audience size and song streams ever since the pandemic. The goal of this report was to develop two proof of concept algorithms and leverage those algorithms to recommend an improved business model for large music streaming services, specifically Spotify, that is more evenly biased to recommending smaller artists. A k-nearest neighbors and k-means algorithm were both created, using generated features from Spotify data such as audio features and genres to generate both single and clusters of live event recommendations. Statistical and survey analysis was conducted on the results to determine if the proof of concept could be developed into a full-fledged algorithm.