Markus Schedl, H. Zamani, C.W. Chen, Yashar Deldjoo, M. Elahi,
"Current Challenges and Visions in Music Recommender Systems Research"
, in International Journal of Multimedia Information Retrieval, Vol. 7, Nummer 2, 2018
Original Titel:
Current Challenges and Visions in Music Recommender Systems Research
Sprache des Titels:
Englisch
Original Kurzfassung:
Music recommender systems (MRSs) 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 MRSs
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 toward 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
Sprache der Kurzfassung:
Englisch
Journal:
International Journal of Multimedia Information Retrieval
Forschungs-