| /* |
| * 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.lang.invoke.MethodHandles; |
| import java.util.Collection; |
| import java.util.Map.Entry; |
| |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.io.Text; |
| import org.apache.hadoop.util.StringUtils; |
| import org.apache.nutch.crawl.CrawlDatum; |
| import org.apache.nutch.metadata.Nutch; |
| import org.apache.nutch.parse.Parse; |
| import org.apache.nutch.parse.ParseData; |
| import org.apache.nutch.protocol.Content; |
| import org.apache.nutch.scoring.similarity.SimilarityModel; |
| import org.slf4j.Logger; |
| import org.slf4j.LoggerFactory; |
| |
| public class CosineSimilarity implements SimilarityModel{ |
| |
| private Configuration conf; |
| private static final Logger LOG = LoggerFactory |
| .getLogger(MethodHandles.lookup().lookupClass()); |
| |
| @Override |
| public void setConf(Configuration conf) { |
| this.conf = conf; |
| } |
| |
| @Override |
| public float setURLScoreAfterParsing(Text url, Content content, Parse parse) { |
| float score = 1; |
| |
| try { |
| if(!Model.isModelCreated){ |
| Model.createModel(conf); |
| } |
| String metatags = parse.getData().getParseMeta().get("metatag.keyword"); |
| String metaDescription = parse.getData().getParseMeta().get("metatag.description"); |
| int[] ngramArr = Model.retrieveNgrams(conf); |
| int mingram = ngramArr[0]; |
| int maxgram = ngramArr[1]; |
| DocVector docVector = Model.createDocVector(parse.getText()+metaDescription+metatags, mingram, maxgram); |
| if(docVector!=null){ |
| score = Model.computeCosineSimilarity(docVector); |
| LOG.info("Setting score of {} to {}",url, score); |
| } |
| else { |
| throw new Exception("Could not create DocVector from parsed text"); |
| } |
| } catch (Exception e) { |
| LOG.error("Error creating Cosine Model, setting scores of urls to 1 : {}", StringUtils.stringifyException(e)); |
| } |
| return score; |
| } |
| |
| @Override |
| public CrawlDatum distributeScoreToOutlinks(Text fromUrl, ParseData parseData, |
| Collection<Entry<Text, CrawlDatum>> targets, CrawlDatum adjust, |
| int allCount) { |
| float score = Float.parseFloat(parseData.getContentMeta().get(Nutch.SCORE_KEY)); |
| for (Entry<Text, CrawlDatum> target : targets) { |
| target.getValue().setScore(score); |
| } |
| return adjust; |
| } |
| |
| } |