The basic reasoning here is that any cooccurrence measure without smoothing is will have zero overlap whenever all the others have zero overlap. This seems to be the root of your problem. The solution is to increase overlap or increase data.
The problem with correlation based approaches is that they over state coincidental overlaps. Fixing that can't fix the problem of no overlap. On Sun, May 20, 2012 at 2:27 AM, Ted Dunning <[email protected]> wrote: > I wouldn't generally do this. > > One option to get better recall is something like random indexing or LSA. > My guess is that you don't have enough data in general. > > On Sat, May 19, 2012 at 9:31 PM, Mugoma Joseph Okomba > <[email protected]>wrote: > >> This is still experimental and don't how final outcome will be. But was >> just wondering if mixing similarity measures is advisable in the 1st >> place? >> > >
