Music Recommendation System Using Machine Learning

Authors

  • Varsha Verma  Department of Information Technology, PCE, Navi Mumbai, Maharashtra, India
  • Ninad Marathe  Department of Information Technology, PCE, Navi Mumbai, Maharashtra, India
  • Parth Sanghavi  Department of Information Technology, PCE, Navi Mumbai, Maharashtra, India
  • Dr. Prashant Nitnaware   Department of Information Technology, PCE, Navi Mumbai, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217615

Keywords:

Numpy, Pandas, Cosine Similarity, Count Vectorizer

Abstract

In our project, we will be using a sample data set of songs to find correlations between users and songs so that a new song will be recommended to them based on their previous history. We will implement this project using libraries like NumPy, Pandas.We will also be using Cosine similarity along with CountVectorizer. Along with this,a front end with flask that will show us the recommended songs when a specific song is processed.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-12-30

Issue

Volume 7, Issue 6, November-December-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Varsha Verma, Ninad Marathe, Parth Sanghavi, Dr. Prashant Nitnaware , " Music Recommendation System Using Machine Learning , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.80-88, November-December-2021. Available at doi : https://doi.org/10.32628/CSEIT217615