/**这里是使用Lucene进行相关度排序*使用Score进行自然排序*相关度排序是一种最简单的排序方式。*所谓相关度，，其实是文档的得分*文档的得分在每次查找的时候都不同，*需要根据查找的关键字来确定。**tf词条频率*idf反转文档频率*boost Field的激励因子*LengthNum长度因子
*/
结果图：
package score;import java.io.IOException;import org.apache.lucene.analysis.standard.StandardAnalyzer;import org.apache.lucene.document.Document;import org.apache.lucene.document.Field;import org.apache.lucene.document.Field.Index;import org.apache.lucene.index.IndexWriter;import org.apache.lucene.index.Term;import org.apache.lucene.search.Hits;import org.apache.lucene.search.IndexSearcher;import org.apache.lucene.search.TermQuery;public class Native_Score {public Native_Score(String INDEX_STORE_PATH){try{IndexWriter writer = new IndexWriter(INDEX_STORE_PATH, new StandardAnalyzer(), true);writer.setUseCompoundFile(false);//创建3个文档Document doc1 = new Document();Document doc2 = new Document();Document doc3 = new Document();Field f1 = new Field("bookname", "ab bc", Field.Store.YES, Index.TOKENIZED);Field f2 = new Field("bookname", "ab bc cd", Field.Store.YES, Index.TOKENIZED);Field f3 = new Field("bookname", "ab", Field.Store.YES, Index.TOKENIZED);doc1.add(f1);doc2.add(f2);doc3.add(f3);writer.addDocument(doc1);writer.addDocument(doc2);writer.addDocument(doc3);writer.close();IndexSearcher searcher = new IndexSearcher(INDEX_STORE_PATH);TermQuery q = new TermQuery(new Term("bookname", "bc"));Hits hits = searcher.search(q);for(int i = 0; i < hits.length(); i++){Document doc = hits.doc(i);//与之匹配的文档System.out.println(doc.get("bookname") + "\t\t");//文档所得分数System.out.println(hits.score(i));//这里通过解释的方法，来了解这个分数是怎么回事System.out.println(searcher.explain(q, hits.id(i)).toString());}}catch(IOException e){e.printStackTrace();}}public static void main(String[] args) {// TODO Auto-generated method stubNative_Score nv = new Native_Score("E:\\Lucene项目\\索引文件");}}
选择自己所爱的，爱自己所选择的。
