An empirical study on Music recommendation Using Deep learning

Computer Engineering

Sentiment has performed an essential role in research on music recommender systems as being one of the primary elements that impacts human music listening behavior. Music is a fundamental sensation that almost everyone enjoys. However, listeners are frequently confused owing to individual preferences and the vast number of music options available, with new material being released on a daily basis. One of the most important aspects in determining what music to listen to is an individual’s personal mood. Multiple forms of studies have been conducted on this method for the objective of determining an individual's mood through the usage of face photographs. For the purposes of applying our methodology, these approaches were examined for their relevance in image processing and machine learning implementations. This examination of various methodologies was crucial in the development of our strategy, which will be broadened in the future.

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