4 ms·
As per the prize rule, they are under the obligation to describe and publish their mode (as they did last time). I really wish someone would release an open sou
by FiReaNG3L 18y ago
As per the prize rule, they are under the obligation to describe and publish their mode (as they did last time). I really wish someone would release an open source recommender package, coded in C, with PHP bindings, based on the latest / greatest algorithms, or any algorithm (just plain SVD if anything).
Interesting links (from the winning team(s) websites about their latest research) : http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf http://public.research.att.com/~volinsky/netflix/kdd08koren....
http://www.commendo.at/index.php?lang=0&_0=2&_1=3 http://www.commendo.at/index.php?lang=0&_0=2&_1=3
- icefox 18y agoWell I am not going to do everything for you, but here is something to start with: http://benjamin-meyer.blogspot.com/2006/10/netflix-prize-contest.html http://benjamin-meyer.blogspot.com/2006/10/netflix-prize-con... It is a little framework I put together to play with the netflix prize framework. I implemented SVD as one of the examples. On a side note I did think about the idea of putting together a small company that would sell recommendation systems to companies for their website. The value would not be in the algorithm, but in the ability to integrate with their software.
- FiReaNG3L 18y agoVery nice, I saw many Netflix Prize derived frameworks but I somehow missed this one. Did you test RMSE of your SVD on Netflix Dataset?
- icefox 18y agoNope, it is just a stock SVD, it wont win any awards, just get the job done and be an example. There are plenty of people who have tweaked SVD up and down so I didn't spent time doing it too.