/** * 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.nutch.scoring.similarity.cosine; import java.util.HashMap; import java.util.Map; public class DocVector { public HashMap<Integer, Long> termVector; public HashMap<String, Integer> termFreqVector; public DocVector() { termFreqVector = new HashMap<>(); } public void setTermFreqVector(HashMap<String, Integer> termFreqVector) { this.termFreqVector = termFreqVector; } public void setVectorEntry(int pos, long freq) { termVector.put(pos, freq); } public float dotProduct(DocVector docVector) { float product = 0; for(Map.Entry<String, Integer> entry : termFreqVector.entrySet()) { if(docVector.termFreqVector.containsKey(entry.getKey())) { product += docVector.termFreqVector.get(entry.getKey())*entry.getValue(); } } return product; } public float getL2Norm() { float sum = 0; for(Map.Entry<String, Integer> entry : termFreqVector.entrySet()) { sum += entry.getValue()*entry.getValue(); } return (float) Math.sqrt(sum); } }