// Copyright (C) 2010, 2011, 2012 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 org.mymedialite.IUserAttributeAwareRecommender; import org.mymedialite.correlation.BinaryCosine; import org.mymedialite.datatype.SparseBooleanMatrix; /** * Weighted kNN recommender based on user attributes. * * This recommender does NOT support incremental updates. * @version 2.03 */ public class UserAttributeKNN extends UserKNN implements IUserAttributeAwareRecommender { private SparseBooleanMatrix userAttributes; private int numUserAttributes; public SparseBooleanMatrix getUserAttributes() { return userAttributes; } public void setUserAttributes(SparseBooleanMatrix matrix) { this.userAttributes = matrix; this.numUserAttributes = userAttributes.numberOfColumns(); this.maxUserID = Math.max(maxUserID, userAttributes.numberOfRows() - 1); } /** */ public int numUserAttributes() { return numUserAttributes; } /** */ protected void retrainUser(int user_id) { baseline_predictor.retrainUser(user_id); } /** */ public void train() { baseline_predictor.train(); this.correlation = BinaryCosine.create(userAttributes); } public String toString() { return "UserAttributeKNN k=" + (k == Integer.MAX_VALUE ? "inf" : k) + " reg_u=" + getRegU() + " reg_i=" + getRegI(); } }