Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9991
Title: Music Recommendation System Based on Genre
Authors: Chauhan, Pranav
Garg, Pardeep [Guided by]
Kumar, Yugal [Guided by]
Keywords: Spotify
Music
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: In today's modern world listening to music is very important to people. As the Internet prices are also very reasonable now, music is always ready at your door steps. There are now millions of songs and music audios available, and this brings the problem of plenty. Listening to music is a relaxing time and people do not want to exercise their mind here. The truth is the confusion can be real i.e what to hear and what to skip. Here, the idea of music recommendation kicks in. The role of a music recommendation system is to recommend people content on the basis of their liking or their past experiences. This saves users a lot of time and confusion searching, as they now get several recommendations similar to his/her choice and user could just tap in to choose to hear anything. This application is also a very integral part of music streaming services which also solves some bigger problems like music piracy and easy of getting music.
Description: Enrollment No. 191518
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9991
Appears in Collections:B.Tech. Project Reports

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