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Class Summary | |
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AbstractDifferenceRecommenderEvaluator | Abstract superclass of a couple implementations, providing shared functionality. |
AverageAbsoluteDifferenceRecommenderEvaluator |
A RecommenderEvaluator which computes the average absolute
difference between predicted and actual ratings for users. |
GenericRecommenderIRStatsEvaluator |
For each user, these implementation determine the top n preferences, then evaluate the IR
statistics based on a DataModel that does not have these values. |
GenericRelevantItemsDataSplitter | Picks relevant items to be those with the strongest preference, and includes the other users' preferences in full. |
IRStatisticsImpl | |
LoadEvaluator | Simple helper class for running load on a Recommender. |
LoadStatistics | |
OrderBasedRecommenderEvaluator | Evaluate recommender by comparing order of all raw prefs with order in recommender's output for that user. |
RMSRecommenderEvaluator |
A RecommenderEvaluator which computes the "root mean squared"
difference between predicted and actual ratings for users. |
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