Karina Huang, Nicholas Stern, Phoebe Wong
Harvard AC209a Final Project Fall 2018
This GitHub Page serves as a demo page for our final project. The complete record of analysis is hosted on our github repo.
Refer to the following description for navigation:
A description of the Spotify playlist recommendation problem, touching on the main difficulties and the primary motivations for predicting song preferences on music platforms.
A closer look at the structure of the data through some exploratory analysis, along with a description of how the data were cleaned and processed.
A breakdown of the models used for playlist recommendation, with detailed explanations behind each algorithm and its performance. The models we implemented are:
a conversation about what the next steps would be in exploring techniques for playlist recommendation, as well as extra ideas we had, but have yet to implement.