Pulse: An online music recommendation system for socially-driven music discovery
The digital music industry has undergone a paradigm shift, favoring streaming services and personalized recommendation systems. This paper presents one unique Online Music Recommendation System, a web-based music library and recommendation platform that allows users to listen to, share, and recommend songs among friends. The system integrates social interactions to enhance music discovery while keeping the user interface intuitive and accessible. The application is not only follows a client-server architecture but also allows administrators to manage music content but also enables users to interact through friend lists and song recommendations. This experimental implementation shows a high level of user engagement and satisfaction, validating the feasibility and effectiveness of socially-enhanced music recommendation platforms.
Institutions
- Techno India University (IN)
- West Bengal State University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-30
- DOI
- https://doi.org/10.5281/zenodo.17192151
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00