I started working on the Netflix Prize in October 2007 in order to learn more about Machine Learning. I studied Physics, Math, and CS at the University of Massachusetts Amherst.

My method involves SVD (mf, nnmf, etc.), kNN, and a variety of neural network based approaches. I combine many results for my 8.31% score; the best individual result with a score achieves a score of 5.14% on the probe set.

I have not participated substantively in the contest since March 2008, at which point I was in fifth place.

Helpful References

Restricted Boltzmann Machines for Collaborative Filtering by Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton of the ML@UToronto team.

Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights by Bob Bell, Yehuda Koren, and Chris Volinsky of the BellKor team.

Textbook: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig