Title :
A personalized music discovery service based on data mining
Author :
Rahman Siddiquee, Md Mahfuzur ; Rahman, Md Saifur ; Haider, Naimul ; Rahman, Rashedur M. ; Chowdhury, Shahnewaz Ul Islam ; Banik, Sharnendu
Author_Institution :
Dept. of Electr. & Comput. Eng., North South Univ., Dhaka, Bangladesh
fDate :
June 28 2015-July 1 2015
Abstract :
We want to predict the next song a user might prefer to listen based on their previous listening patterns, currently played songs and similar music based on music data. To calculate music similarity we used a Matlab toolbox that considers audio signals. We used association rule mining to find users´ listening patterns and using the association rules we predict the next song the user might prefer. As we propose a music discovery service as well, we use the information of music listening pattern and music data similarity to recommend a new song.
Keywords :
data mining; music; pattern matching; recommender systems; Matlab toolbox; association rule mining; data mining; music data similarity; music listening pattern; personalized music discovery service; personalized music recommendation; Fluctuations; Gravity; Mel frequency cepstral coefficient; Music; Transforms; Association rule mining; Data mining; Music discovery system; Music recommender system;
Conference_Titel :
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/ICIS.2015.7166602
