Song Recommender System
The 'song_data.gl/' dataset containing information about various songs is taken. Then a simple popularity-based recommender is built. Then a personalized recommender is built using similarity between various items. A quantitative comparison between these recommenders is conducted. Its observed that personalized recommender provides much better performance.