Apply logistic function to reconstructed / estimated values?

[GoogleCodeExporter]

The values on which recommendations are ranked, and the result of the 
estimatePreference method, are actually elements in the reconstruction of the 
0/1 input matrix P. The values are typically between 0 and 1, but need not be 
in practice.

It may be more intuitive to limit the output to the range (0,1) by passing the 
result through the logistic function 1/(1+e^-x). In practice we would need to 
apply the logistic function to some function of x, like 5(x-0.5) in order to 
scale it appropriately.

This would not affect relative rank of recommendations. It would affect the 
actual values.

Original issue reported on code.google.com by srowen@myrrix.com on 31 Aug 2012 at 2:59

[GoogleCodeExporter]

This idea is (kind of) superseded by efforts to add in side information via a 
log-linear model. This would make the result less understandable, I believe.

Original comment by srowen@myrrix.com on 8 Oct 2012 at 12:49

• Changed state: WontFix