/** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.mahout.cf.taste.example.kddcup.track2; import java.io.File; import java.io.IOException; import java.util.Collection; import org.apache.mahout.cf.taste.common.Refreshable; import org.apache.mahout.cf.taste.common.TasteException; import org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity; import org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity; import org.apache.mahout.cf.taste.model.DataModel; import org.apache.mahout.cf.taste.similarity.ItemSimilarity; final class HybridSimilarity extends AbstractItemSimilarity { private final ItemSimilarity cfSimilarity; private final ItemSimilarity contentSimilarity; HybridSimilarity(DataModel dataModel, File dataFileDirectory) throws IOException { super(dataModel); cfSimilarity = new LogLikelihoodSimilarity(dataModel); contentSimilarity = new TrackItemSimilarity(dataFileDirectory); } @Override public double itemSimilarity(long itemID1, long itemID2) throws TasteException { return contentSimilarity.itemSimilarity(itemID1, itemID2) * cfSimilarity.itemSimilarity(itemID1, itemID2); } @Override public double[] itemSimilarities(long itemID1, long[] itemID2s) throws TasteException { double[] result = contentSimilarity.itemSimilarities(itemID1, itemID2s); double[] multipliers = cfSimilarity.itemSimilarities(itemID1, itemID2s); for (int i = 0; i < result.length; i++) { result[i] *= multipliers[i]; } return result; } @Override public void refresh(Collection<Refreshable> alreadyRefreshed) { cfSimilarity.refresh(alreadyRefreshed); } }