I’ve been trying to use Classifier::LSI to provide a means of finding
‘related items’, where each item is a one line description of a product.
Although on small samples the Classifier works great, it completely
baulks on my current dataset of 3000 items.
I’ve started to look at ferret this morning, following a post on the
ruby mailing list. I’d guess that the Fuzzy Query would be the thing
that I need, although it doesn’t appear to be as comprehensive as the
LSI stuff in classifier (I realise they are doing different things).
I’m really just after any thoughts anyone might have…
Thanks in advance,