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Full suite of Recommendation Algorithms

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RecSys Challenge 2018 @ Polimi

Description

Complete suite of implementations of Recommendation Algorithms. The modularity of the source code allows for built-in hybridizations of different tecniques

The challenge

We were given a 1.2M interactions dataset about playlists and songs. Our goal was predicting the most suited song for continuing the playlist.

Results

Our team ranked fifth over eighty teams (top 7%)

Link

https://www.kaggle.com/c/recommender-system-2018-challenge-polimi

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Full suite of Recommendation Algorithms

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  • Python 100.0%