Work

Music Recommendation System Using Artificial Neural Networks

Year: 2025

Type: article

Abstract: Music streaming platforms have transformed how users discover music, but existingrecommendationsystemsface limitations in capturing nuanced user preferences. This paper presents a music recommendation system utilizing Artificial Neural Networks (ANN) to analyze song features like tempo, energy, and danceability. Spotify’s API is employedtoextracttheseattributes,whichareusedtotraintheAutoencoder.Personalizedplaylistsaregenerated by incorporating both audio features and user preferences. The system intends to make music recommendations more relevant and enjoyable by leveraging advanced machine learning techniques

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.72835

Author: Thirumahal R

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4412373439

FWCI:

Cites: 10

Cited by:

Related to: 10