Paper Contents
Abstract
The digital music landscape has undergone a dramatic transformation over the past decade, with streaming platforms becoming the primary medium through which users consume music. This shift has created an unprecedented challenge: helping users navigate through millions of songs to find music that resonates with their unique preferences. Traditional recommendation systems relied on simplistic approaches such as popularity metrics, basic metadata matching, or minimal user input, which proved inadequate for providing truly personalized experiences
Copyright
Copyright © 2025 Amar Chidanand Mundewadi . This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS50400009233
ISSN:
2321-9653
Publisher:
ijprems