The best evaluator for recommendations in binary data sets

[Claudia Grieco]

Hi guys,

I have created an user based recommender which operates on a binary  data
set (an user has bought or not bought a product)

I'm using BooleanTanimoto Coefficient, BooleanUserGenericUserBased and so
on.

Is using AverageAbsoluteDifferenceRecommenderEvaluator to evaluate the
recommender a good idea?