sorry, I have one more thing to add, in GenericUserBasedRecommender this is
the method that estimates the preference:
public float estimatePreference(long userID, long itemID) throws
TasteException {
DataModel model = getDataModel();
Float actualPref = model.getPreferenceValue(userID, itemID);
if (actualPref != null) {
return actualPref;
}
long[] theNeighborhood = neighborhood.getUserNeighborhood(userID);
return doEstimatePreference(userID, theNeighborhood, itemID);
}
but I try to estimate from the training set, so obviously the userID and
itemID exsist in the model, therefore it returns the actualPref. that's why
I get 0 as a result.
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