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Song Recommendation System Based on Data Science Technology: A Review

Muskan Gupta, Kanika Bansal, Lakshay Jain, Neetu Joshi


In this paper, we first study how data science is not well understood, which might leave people disappointed if the idea devolves into meaningless hype. A collection of data known as a data set is the subject of data science. There are numerous components of data science that were created in domains, like machine learning and data mining. After removing the confusion about data science, we see what a song recommendation is and on which technique it is based. Song recommendations are generally based on collaborative and content-based filtering. The more advanced and fascinating filtering mechanism focuses on user similarities and prior interactions between people and things. Contrarily, content-based systems consider characteristics or attributes of things. This paper shows that collaborative filtering is much better than content-based filtering.

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