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/**
* 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);
}
}