Implementation of Apriori Algorithm for Music Genre Recommendation

Music interest is diverse yet enticing to be a part of knowledge discovery. It influences how people feel, study, work, etc. A lot things are considered in producing brand new music with its correlation genre. We have already collected the dataset that we can utilize this research, which history every song listened by several users total 20.000 records from million dataset. This study implements Apriori algorithm handle large amount data while simplifying create recommendation system where result pattern genre according interests each user help RapidMiner tool. The purpose research has been found become reference for producers terms making or distributing their brand-new music. best combination genres states listeners rock will also hear pop frequency 50, support value 21.2%, and confidence 51%.