// Copyright (C) 2010, 2011 Zeno Gantner, Chris Newell // // This file is part of MyMediaLite. // // MyMediaLite is free software: you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation, either version 3 of the License, or // (at your option) any later version. // // MyMediaLite is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with MyMediaLite. If not, see <http://www.gnu.org/licenses/>. package org.mymedialite.ratingprediction; import java.util.HashSet; import org.mymedialite.correlation.BinaryCosine; /** * Weighted user-based kNN with cosine similarity. * * This recommender supports incremental updates. * @version 2.03 */ public class UserKNNCosine extends UserKNN { /** * */ public void train() { baseline_predictor.train(); this.correlation = BinaryCosine.create(data_user); } /** */ protected void retrainUser(int user_id) { baseline_predictor.retrainUser(user_id); if (updateUsers) for (int i = 0; i <= maxUserID; i++) correlation.set(user_id, i, BinaryCosine.computeCorrelation(new HashSet<Integer>(data_user.get(user_id)), new HashSet<Integer>(data_user.get(i)))); } public String toString() { return "UserKNNCosine k=" + (k == Integer.MAX_VALUE ? "inf" : k) + " reg_u=" + getRegU() + " reg_i=" + getRegI(); } }