EuclideanDistanceSimilarity

[Tamas Jambor]

hi Sean,

I have just tried out the EuclideanDistanceSimilarity method to 
calculate user similarity, but there is something strange it don't 
understand. I use 200 as the neighbourhood size, and within this 
neighbourhood I get a prediction for around 75% of my test items using 
Pearson correlation, but with this new one, I get almost 95% covered for 
the same dataset. Just wondering why, because I would expect the same 
proportion, since the way that the algorithm calculates prediction did 
not change.

thanks,
Tamas