/* * Copyright (C) 2015 Information Retrieval Group at Universidad Autónoma * de Madrid, http://ir.ii.uam.es * * This Source Code Form is subject to the terms of the Mozilla Public * License, v. 2.0. If a copy of the MPL was not distributed with this * file, You can obtain one at http://mozilla.org/MPL/2.0/. */ package es.uam.eps.ir.ranksys.metrics.basic; import es.uam.eps.ir.ranksys.core.Recommendation; import es.uam.eps.ir.ranksys.metrics.AbstractRecommendationMetric; import es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel; import org.ranksys.core.util.tuples.Tuple2od; /** * Recall metric: proportion of relevant items in a recommendation list to all relevant items. * * @param <U> type of the users * @param <I> type of the items * @author Jacek Wasilewski (jacek.wasilewski@insight-centre.org) */ public class Recall<U, I> extends AbstractRecommendationMetric<U, I> { /** * Relevance model */ private final IdealRelevanceModel<U, I> relModel; /** * Maximum length of recommended lists */ private final int cutoff; /** * Constructor. * * @param cutoff maximum length of recommended lists * @param relModel relevance model */ public Recall(int cutoff, IdealRelevanceModel<U, I> relModel) { this.relModel = relModel; this.cutoff = cutoff; } /** * Returns a score for the recommendation list. * * @param recommendation recommendation list * @return score of the metric to the recommendation */ @Override public double evaluate(Recommendation<U, I> recommendation) { U user = recommendation.getUser(); IdealRelevanceModel.UserIdealRelevanceModel<U, I> userRelModel = relModel.getModel(user); int numberOfAllRelevant = relModel.getModel(user).getRelevantItems().size(); if (numberOfAllRelevant == 0) { return 0.0; } return recommendation.getItems().stream() .limit(cutoff) .map(Tuple2od::v1) .filter(userRelModel::isRelevant) .count() / (double) numberOfAllRelevant; } }