1. Netflix Recommender Framework
Icefox,免費提供c++ source code(我有試過,可是不能RUN,我ㄉ電腦有些它需要軟體好像沒有),而且最近一版ㄉCODE 裡,有提供SVD algorithm (singular value decomposition (SVD))
http://www.netflixprize.com/community/viewtopic.php?id=352
http://sifter.org/~simon/journal/20061211.html (這個是寫SVD 那個人ㄉ網頁)
2. Pyflix - The pythonic Netflix Prize
Deus ex silicon,免費提供python source code
http://www.netflixprize.com/community/viewtopic.php?id=432
3. Useful public RMSEs
一些基本ㄉ猜測ㄉRMSE(像是全猜1或2)
下面這個怪公式ㄉRMSE 可以低於1
For the following equation:
R = -2.58797372 + 0.95682133*M + 0.7606549*U
Where:
R = predicted rating
M = movie average
U = user average
http://www.netflixprize.com/community/viewtopic.php?id=435
4.Not sure how to calculate RMSE
如何計算RMSE
http://www.netflixprize.com/community/viewtopic.php?id=625
5.A better spreadsheet than Excel ?
這個人用EXCEL
http://www.netflixprize.com/community/viewtopic.php?id=483
6.Anyone help with Collaborative
算兩個userㄉ相關
http://www.netflixprize.com/community/viewtopic.php?pid=4924#p4924
7. Ramblings on the lower bound on the RMSE
http://www.netflixprize.com/community/viewtopic.php?id=78
RMSE-------perfect%----random%
0.2887-----100%--------0%
0.8563-----48%---------52%
0.9514-----34%---------66%
0.98--------30%---------70%
1.0540-----18%---------82%
1.1547-----0%---------100%
8.Why RMSE=1.79 for random ratings?
亂猜也有RMSE=1.79
http://www.netflixprize.com/community/viewtopic.php?id=224
Thursday, April 9, 2009
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Today, I try again for icefox's framework on "Fedora 10", it works smoothly. Cool.
ReplyDelete1.yum install qt-devel qt-config
=> then everything works, just follow icefox's README
qmake-qt4 -recursive
ReplyDeletemake
./pearson