Music streaming services have become one of the main sources of music consumption in the last decade, with recommender systems as an important component. As those systems partially decide the songs that music consumers listen to, the systems greatly impact the artists who created the songs. However, when evaluating performance and fairness of these music recommending systems (MRSs), the perspective of the item providers or other music industry professionals is often not considered. Additionally, artists indicate they would appreciate more transparency – both towards and users and the artists themselves – regarding why certain items are recommended and others are not. This research project takes a multi-stakeholder approach to bridge the gap between music systems and their item providers. We first establish artists’ and music industry professionals’ perspective on MRSs through interviews and questionnaires. Based on those insights, we then aim to increase matching between end users and lesser-known artists by generating rich item and user representations. Results will be evaluated both quantitatively and qualitatively. Lastly, we plan to effectively communicate MRS fairness by increasing transparency for both end users and artists.