Arkadiusz Paterek <paterek@mimuw.edu.pl>

Research interests: algorithms, machine learning, prediction, collaborative filtering.

Publications:
1) A. Paterek, Improving regularized singular value decomposition for collaborative filtering, Proc. KDD Cup and Workshop 2007
[poster] [slides] [bibtex]
    I described the details of my 7.04% solution to the Netflix Prize. My approach is to combine the results of many methods (also two-way interactions between them) using linear regression on the test set. The best method in my ensemble is regularized SVD with biases, postprocessed with kernel ridge regression (MAP estimate using Gaussian Processes) - both described in the above paper.



I am a PhD student at the Institute of Informatics (Algorithms and Complexity Group) at Warsaw University.

In the past, I worked as a software engineer at Sentivision (IPTV industry) and at Rebelmind (computer games industry).
I am a member of the Jury of Polish Olympiad in Informatics since 2000.

Hobby: computer chess.

View Arkadiusz Paterek's profile on LinkedIn

New: my blog


Teaching - computer science:
* AI LAB 2006 (in Polish)

Teaching - mathematics:
* Statistics II LAB 2007

Links:
* Netflix Prize - data mining contest with a $1 million prize




Last modified: 12.09.2007