The recommender system has become an essential element in our world, where it's common for users to confuse due to an abundance of data. Thus, we'd like to solve that problem and help customer to make better decisions. We will require additional data related to the features of songs present in the Spotify application for this implementation. Using these features, we will determine the similarity between our playlist and the songs not in our playlist, to get a new playlist recommended.
Before run make sure to install the following packages
pip install sklearn
pip install spotipy
pip install matplotlib
It's also required at least Python 3.x and Numpy, Pandas.
The file
teamA2-spotify.ipynb
contains the entire notebook to be executed
Version 1.0 05-01-22
- Fabrizio Rocco - ESADE Business School
- Alissa Clémence - ESADE Business School
- Viknesh Vivekanandan - ESADE Business School
- Justin Loocke - ESADE Business School
- Martin Garcia - ESADE Business School