An Automatic Approach to Music Recommendations Based on Individual Personality Traits

Gupta, Sonali; Gulati, Payal; Bhatia, Surbhi; Madaan, Rosy

doi:10.2139/ssrn.3565276

Download This Paper

Open PDF in Browser

Add Paper to My Library

An Automatic Approach to Music Recommendations Based on Individual Personality Traits

Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020

6 Pages Posted: 2 Apr 2020

See all articles by Sonali Gupta

Rosy Madaan

MANAV RACHNA INTERNATIONAL INSTITUTE OF RESEARCH AND STUDIES

Date Written: March 31, 2020

Abstract

Music is an important means of leisure and entertainment of human beings. Music helps in refreshing mood and regaining energy during the busy lifestyle of an individual. It has been observed that a person prefers to listen to music as per his temperament and personality. Thus Personality influences the behavior, interests and tastes of an individual. It plays an important role in determining the preferences of a human being as user’s tastes and music needs are highly dependent on a multitude of features that he/she possess. Therefore in this work an automatic music recommender system that automatically predicts the personality of an individual and depicts the music based on individual’s personality has been proposed.

Suggested Citation: Suggested Citation

Gupta, Sonali and Gulati, Payal and Bhatia, Surbhi and Madaan, Rosy, An Automatic Approach to Music Recommendations Based on Individual Personality Traits (March 31, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3565276 or http://dx.doi.org/10.2139/ssrn.3565276