OK that works though LogLikelihoodSimilarity would probably give better
results.
On May 24, 2011 12:17 PM, "Uwe Reimann" <[email protected]> wrote:
> 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).
>
>
