Data Mining on Big Data for Music Recommender Systems

Data Mining on Big Data for Music Recommender Systems

The objective of this master thesis is to study how data mining techniques can be helpful for improving the quality of the music recommendations on a streaming platform when the content associated to music artists is not well structured, which is the case of emerging music artists from independent record labels (“indie labels”): the artists are not publicly known, they have no publicity or only a little, most of them do not have a web site with a useful structured content to exploit (e.g., a Wikipedia page), there is a very few chance of finding items on these music artists in the specialized music press, etc.

Data Mining on Big Data for Music Recommender Systems

Published on November 28, 2016