Fast algorithm

Fast CF algorithms have a future, as I don't think that blending hundreds (or even dozens) of predictors is acceptable in real recommender system.
Unfortunately, most of published algorithms tried in this contest needs hours of computations to produce a decent result.

I've been recently working on my "fast" algorithm; the goal was to develop an algorithm with lowest RMSE and running time not exceeding 10 minutes.
Now it's time I may proudly announce the result: my algorithm can produce a 0.8927 QRMSE solution in seven (7) minutes (including reading raw data and writing result file) on my AMD 64 X2 Dual Core @5200+ machine, without using parralelism of any kind (like CUDA, OpenMP, etc.). It's not a totally new algorithm, but rather a clever modification of what was already published by one of the leading teams.

If anyone has an algorithm which offers a better solution in similar time, please let me know.