Am 24.05.2011 12:36, schrieb Sean Owen:
On Tue, May 24, 2011 at 11:31 AM, Uwe Reimann<[email protected]> wrote:
I did some testing of the different recommenders on a real data set from a
bookmarking site. GenericBooleanPrefItemBasedRecommender did not work very
well for me. It seemed to recommend the top links. Using
GenericUserBasedRecommender worked way better (after some tweaking), which
recommended links that actually fit my interests. Might need to do some more
testing here.
Were you using "compatible" similarity implementations? Pearson is
meaningless on boolean data and you would get poor results.
I was using TanimotoCoefficientSimilarity (for both,
GenericBooleanPrefUserBasedRecommender and
GenericBooleanPrefItemBasedRecommender).
