That is the point of the exponential in the example that I gave you. The top few recommendations are nearly stable. It is the lower ranks that are really churned up. This has the property that you state.
On Sat, Jul 2, 2011 at 12:45 PM, Salil Apte <[email protected]> wrote: > I really like the idea of segmenting results to prevent random items from > polluting the results which have the highest likelihood of being good > recommendations. This is something I will explore from an algorithmic and > UI > standpoint. >
