prea.recommender
Interface Recommender

All Known Implementing Classes:

Average, BaselineRecommender, BayesianPMF, Constant, CustomRecommender, FastNPCA, ItemAverage, ItemBased, MatrixFactorizationRecommender, MemoryBasedRecommender, NMF, NonlinearPMF, PMF, Random, RankBased, RegularizedSVD, SlopeOne, UserAverage, UserBased

public interface Recommender

Interface of general recommendation system. Contains definition of learning and evaluating functions.

Since:

2012. 4. 20

Version:

1.1

Author:

Joonseok Lee

Method Summary

void	buildModel(SparseMatrix rm) Interface of learning method.
EvaluationMetrics	evaluate(SparseMatrix tm) Interface of evaluation method.

Method Detail

buildModel

void buildModel(SparseMatrix rm)

Interface of learning method.

Parameters:

rm - A rating matrix with train data.

evaluate

EvaluationMetrics evaluate(SparseMatrix tm)

Interface of evaluation method.

Parameters:

tm - A rating matrix with test data.

Returns:

The result of evaluation, such as MAE, RMSE, and rank-score.