International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 48 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Computer Science | Indonesia | Volume 10 Issue 1, January 2021


Music Recommendation System using Case-Based Reasoning Method

G. A. Vida Mastrika Giri, I. G. A. G. Arya Kadyanan


Abstract: The choice of music in the playlist may differ according to the activities carried out at a certain time. A music recommendation system that can simultaneously create playlists for users based on certain activity and/or mood can reduce the time it takes for music listeners to find suitable music and make music playlists to listen to. In this research, the music recommendation system will use listening history data from music listeners and the Case-Based Reasoning method. Music listening history data consists of listener context data (gender and age), music data (artist and title), and other context data (time, desired mood, current weather, and activity). Context data is used because the latest developments in recommendation systems and music information retrieval have shown that context data is important data that can produce personalized recommendation results. The Case-Based Reasoning method generates recommendations by selecting the listening history data that is in accordance with the current state of the listener. System evaluation was carried out and obtained a 0.66 precision value based on user preferences, which indicates that 66 % of the recommendations provided by the system are suitable for the user.


Keywords: case-based reasoning, context data, listening history, music recommendation


Edition: Volume 10 Issue 1, January 2021,


Pages: 1047 - 1050


How to Cite this Article?

G. A. Vida Mastrika Giri, I. G. A. G. Arya Kadyanan, "Music Recommendation System using Case-Based Reasoning Method", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21115194309, Volume 10 Issue 1, January 2021, 1047 - 1050

How to Share this Article?

Enter Your Email Address


Similar Articles with Keyword 'context'

Downloads: 103

Research Paper, Computer Science, India, Volume 2 Issue 10, October 2013

Pages: 187 - 191

Temporal Topic Summarization and Content Anatomy Based on Ontology Method

B. L. Prabhu, M. Parveentaj

Share this Article

Downloads: 128

Research Paper, Computer Science, Indonesia, Volume 9 Issue 1, January 2020

Pages: 709 - 711

Music Recommendation System based on Listening History Data

G. A. Vida Mastrika Giri, I. G. A. G. Arya Kadyanan

Share this Article

Similar Articles with Keyword 'data'

Downloads: 179 | Weekly Hits: ⮙1 | Monthly Hits: ⮙3

Research Paper, Computer Science, United States of America, Volume 9 Issue 9, September 2020

Pages: 1095 - 1100

Maintaining Social Distancing using Artificial Intelligence

Krish Chaudhary

Share this Article

Downloads: 0

Research Paper, Computer Science, Philippines, Volume 10 Issue 11, November 2021

Pages: 773 - 784

Tourists' Arrival Prediction Using Regression Techniques

John C. Amar

Share this Article

Similar Articles with Keyword 'history'

Downloads: 106

Research Paper, Computer Science, India, Volume 2 Issue 5, May 2013

Pages: 309 - 310

Adaptive Histogram Equalization For Detecting Cancer In Digital Mammogram

Saranya Sathyamurthy, Dr. C. Lakshmi

Share this Article

Downloads: 128

Research Paper, Computer Science, Indonesia, Volume 9 Issue 1, January 2020

Pages: 709 - 711

Music Recommendation System based on Listening History Data

G. A. Vida Mastrika Giri, I. G. A. G. Arya Kadyanan

Share this Article

Similar Articles with Keyword 'music'

Downloads: 125

Research Paper, Computer Science, India, Volume 2 Issue 9, September 2013

Pages: 69 - 71

Predicting Movie Success Using Neural Network

Arundeep Kaur, AP Nidhi

Share this Article

Downloads: 128

Research Paper, Computer Science, Indonesia, Volume 9 Issue 1, January 2020

Pages: 709 - 711

Music Recommendation System based on Listening History Data

G. A. Vida Mastrika Giri, I. G. A. G. Arya Kadyanan

Share this Article
Top