We've made a basic demo of a recommendation system to show you how it works. The easiest way to understand this is to show you using music recommendations.
For the development we used Python, Streamlit, Numpy, Pandas and SQLike.
This approach can be used by any industry. The idea behind the ML algorithm in the demo is to detect the dependencies of users’ preferences. If you type an artist name, the demo will recommend similar artists listened to by others who are also listening to this artist.
Just enter your name and e-mail and check it out yourself!
