Look at SamplingCandidateItemsStrategy and its arguments. These are the knobs you can turn to reduce the amount of data considered. You might start with something low like 10 for each of the first 3 args.
You can set this on an ItemBasedRecommender once configured. On Tue, Jul 24, 2012 at 11:05 PM, Jonathan Nassau <[email protected] > wrote: > Yeah I haven't done that, i'm going to look into that now. > But in case it could solve everything immediately, how would i set up > a CandidateItemStrategy in a way that would speed up the data? > >
