A IRecommenderEvaluator which computes the average absolute difference between predicted and actual ratings for users.
For each user, these implementation determine the top IDataModel that does not have these values. This number
Picks relevant items to be those with the strongest preference, and includes the other users' preferences in full.
Simple helper class for running load on a Recommender.
Evaluate recommender by comparing order of all raw prefs with order in recommender's output for that user. Can also compare data models.
A IRecommenderEvaluator which computes the "root mean squared" difference between predicted and actual ratings for users. This is the square root of the average of this difference, squared.