Dear Mahout Friends, In my research (My master thesis), I am using some Clustering techniques to cluster Users and then I apply CF algorithm on these clusters and finally I evaluate the accuracy by using MAE. I use MovieLens 100K dataset, which is already disjoint for 5 fold cross validation, I cluster each fold training data, apply the CF and average all the clusters MAE in this fold and then do the cross validation on all folds. My question is: Do I need t-test? I seldom see in the literature that anyone use t-test for recommendation systems significant test, except “Clifford Lyon” on his final project<http://materialobjects.com/cf/MovieRecommender.pdf>! Therefore, I am quite bluer whether I should do the t-test or not! I would highly be appreciated if you tell me your idea.
Thanks in advance, Siavash University Technology Malaysia<http://www.utm.my/>
