Current Challenges and Visions in Music Recommender Systems Research

TL;DR

This paper reviews current challenges in music recommender systems, highlighting the need for deeper understanding of listener preferences and proposing future research directions to advance the field.

Contribution

It identifies key challenges in MRS research, reviews existing solutions, and suggests promising future directions for addressing complex listener needs.

Findings

Current MRS struggle with understanding deep listener preferences

Existing solutions are limited in integrating complex user data

Future research should focus on more personalized and context-aware recommendations

Abstract

Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's fingertip. While today's MRS considerably help users to find interesting music in these huge catalogs, MRS research is still facing substantial challenges. In particular when it comes to build, incorporate, and evaluate recommendation strategies that integrate information beyond simple user--item interactions or content-based descriptors, but dig deep into the very essence of listener needs, preferences, and intentions, MRS research becomes a big endeavor and related publications quite sparse. The purpose of this trends and survey article is twofold. We first identify and shed light on what we believe are the most pressing challenges MRS research is facing, from both academic and industry perspectives. We review the state of the art towards solving these challenges and discuss its limitations. Second, we detail possible future directions and visions we contemplate for the further evolution of the field. The article should therefore serve two purposes: giving the interested reader an overview of current challenges in MRS research and providing guidance for young researchers by identifying interesting, yet under-researched, directions in the field.