public class AR extends Recommender
Simple Association Rule Recommender: we do not consider the item categories (or multi levels) used in the original paper. Besides, we consider all association rules without ruling out weak ones (by setting high support and confidence threshold).
Recommender.Measure
algoName, cf, isRankingPred, measures, params, rateDao, rateMatrix
Constructor and Description |
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AR(SparseMatrix trainMatrix,
SparseMatrix testMatrix,
int fold) |
execute, getEvalInfo, run, toString
public AR(SparseMatrix trainMatrix, SparseMatrix testMatrix, int fold)