Thanks Sean, your suggestions worked! I'm now getting results back from the evaluator. I also tweaked the JVM settings and things are running quicker.
One strange thing, and I'm going to dig through the MIA book tonight, is that my user based recommendation evaluator returns 0.0 no matter what I do. It's setup using PearsonCorrelationSimilarity, NearestNUserNeighborhood(2), GenericUserBasedRecommender and the AverageAbsoluteDifferenceRecommenderEvaluator. Also, my prefs do have values, a range from 1 to 3. - Matt On Sat, Jul 14, 2012 at 11:21 AM, Sean Owen <sro...@gmail.com> wrote: > Ah yes I see that now. > > Try increasing evaluation percentage to 1.0. At the moment you're only > using 10% of the data. That's a quick way to make a bigger test! > > Also, what happens if you set the threshold to 0.5? > > On Sat, Jul 14, 2012 at 4:56 PM, Matt Mitchell <goodie...@gmail.com> wrote: >> Hey Sean, are you talking about using >> GenericRecommenderIRStatsEvaluator/CHOOSE_THRESHOLD? I am already >> using that. I have however bumped up the training size, maybe this >> will help. >>
