OK . The TanimotoCoefficientSimilarity and LogLikelihoodSimilarity
used in MIA page 54 and 55 provide a score, so it seems they were not
using a Boolean recommender , something like code 1 maybe? Thanks
On Tue, Jan 22, 2013 at 10:42 AM, Sean Owen <sro...@gmail.com> wrote:
> Yes any metric that concerns estimated value vs real value can't be
> used since all values are 1. Yes, when you use the non-boolean version
> with boolean data you always get 1. When you use the boolean version
> with boolean data you will get nonsense since the output of this
> recommender is not an estimated rating at all.
>
> On Tue, Jan 22, 2013 at 4:40 PM, Zia mel <ziad.kame...@gmail.com> wrote:
>> I got 0 when I used GenericUserBasedRecommender in code 2 but when
>> using GenericBooleanPrefUserBasedRecommender score was not 0 . I
>> repeat the test with different data and again I got some results.
>> Moreover , when I use
>> DataModel model = new FileDataModel(new File("ua.base"));
>> in code 2, the MAE score was higher.
>>
>> When you say RMSE can't be used with boolean data, I assume MAE also
>> can't be used?
>>
>> Thanks !
>>
>> On Tue, Jan 22, 2013 at 10:08 AM, Sean Owen <sro...@gmail.com> wrote:
>>> RMSE can't
>>> be used with boolean data.
