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.
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