Music Recommendation System Using Machine Learning

Simran Kaur; Anshu Mehta; Mansha; Ambika Rani; Sanjay Singla; Srinibas Pattanaik

doi:10.1109/ICACCTech61146.2023.00037

2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech)

Music Recommendation System Using Machine Learning

Year: 2023, Pages: 182-187

DOI Bookmark: 10.1109/ICACCTech61146.2023.00037

Authors

Simran Kaur, Chandigarh University,Computer Science Engineering,Mohali,India
Anshu Mehta, Chandigarh University,Computer Science Engineering,Mohali,India
Mansha, Chandigarh University,Computer Science Engineering,Mohali,India
Ambika Rani, Chandigarh University,Computer Science Engineering,Mohali,India
Sanjay Singla, Chandigarh University,Computer Science Engineering,Mohali,India
Srinibas Pattanaik, Chandigarh University,Computer Science Engineering,Mohali,India

Abstract

In our project, we plan to employ a dataset containing songs to discover relationships between users and songs, enabling us to provide song recommendations based on their historical preferences. We intend to execute this project by utilizing libraries such as NumPy and Pandas, as well as employing techniques like Cosine similarity, TfidfVectorizer, and tokenization. Additionally, we will create a Flask front-end interface that, upon processing a specific song, would present suggested music.

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Music Recommendation System Using Machine Learning

Authors

Abstract

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