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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

A Review on Song Recommendation Approaches

Kirti Jain, Shruti Swarup Srivastava, Tushar Vij

DOI: 10.17148/IJARCCE.2022.11553

Abstract: In recent years, recommendation systems have been used to make people’s lives easier with product recommendations used by Amazon/Flipkart, movie recommendation used by Netflix/Amazon Prime. The idea of our project is to integrate the recommendation system with user emotion detection in a seamless way. The user’s emotion will be captured through live feed and his/her emotion will be predicted by a trained model, based on the predicted emotion, the user will be given a playlist containing songs based on the emotion. Key words: Emotion Detection, Deep Learning, Web Development, Recommendation System

How to Cite:

[1] Kirti Jain, Shruti Swarup Srivastava, Tushar Vij, “A Review on Song Recommendation Approaches,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11553