完整版见 https://jadyer.github.io/2013/08/19/lucene-advanced-search-score/

package com.jadyer.lucene;

import java.io.File;
import java.io.IOException;
import java.util.Random;

import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.NumericField;
import org.apache.lucene.index.CorruptIndexException;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.apache.lucene.util.Version;

import com.jadyer.custom.MyNameScoreQuery;

/**
 * 【Lucene3.6.2入门系列】第08节_高级搜索之自定义评分
 * @create Aug 19, 2013 12:13:14 PM
 * @author 玄玉<http://blog.csdn.net/jadyer>
 */
public class AdvancedSearchByScore {
	private Directory directory;
	private IndexReader reader;
	
	public AdvancedSearchByScore(){
		/**文件大小*/
		int[] sizes = {90, 10, 20, 10, 60, 50};
		/**文件名*/
		String[] names = {"Michael.java", "Scofield.ini", "Tbag.txt", "Jack", "Jade", "Jadyer"};
		/**文件内容*/
		String[] contents = {"my java blog is http://blog.csdn.net/jadyer",
							 "my Java Website is http://www.jadyer.cn",
							 "my name is jadyer",
							 "I am a Java Developer",
							 "I am from Haerbin",
							 "I like java of Lucene"};
		IndexWriter writer = null;
		Document doc = null;
		try {
			directory = FSDirectory.open(new File("myExample/01_index/"));
			writer = new IndexWriter(directory, new IndexWriterConfig(Version.LUCENE_36, new StandardAnalyzer(Version.LUCENE_36)));
			writer.deleteAll();
			for(int i=0; i<sizes.length; i++){
				doc = new Document();
				doc.add(new NumericField("size", Field.Store.YES, true).setIntValue(sizes[i]));
				doc.add(new Field("name", names[i], Field.Store.YES, Field.Index.ANALYZED_NO_NORMS));
				doc.add(new Field("content", contents[i], Field.Store.NO, Field.Index.ANALYZED));
				//添加一个评分域,专门在自定义评分时使用
				//此时默认为Field.Store.NO和Field.Index.ANALYZED_NO_NORMS
				doc.add(new NumericField("fileScore").setIntValue(new Random().nextInt(600)));
				writer.addDocument(doc);
			}
		} catch (Exception e) {
			e.printStackTrace();
		} finally {
			if(null != writer){
				try {
					writer.close();
				} catch (IOException ce) {
					ce.printStackTrace();
				}
			}
		}
	}
	
	/**
	 * 获取IndexReader实例
	 */
	private IndexReader getIndexReader(){
		try {
			if(reader == null){
				reader = IndexReader.open(directory);
			}else{
				//if the index was changed since the provided reader was opened, open and return a new reader; else,return null
				//如果当前reader在打开期间index发生改变,则打开并返回一个新的IndexReader,否则返回null
				IndexReader ir = IndexReader.openIfChanged(reader);
				if(ir != null){
					reader.close(); //关闭原reader
					reader = ir;    //赋予新reader
				}
			}
			return reader;
		}catch(Exception e) {
			e.printStackTrace();
		}
		return null; //发生异常则返回null
	}
	
	
	/**
	 * 自定义评分搜索
	 */
	public void searchByCustomScoreQuery(){
		IndexSearcher searcher = new IndexSearcher(this.getIndexReader());
//		//创建一个评分域
//		FieldScoreQuery fsq = new FieldScoreQuery("fileScore", FieldScoreQuery.Type.INT);
//		//创建自定义的CustomScoreQuery对象
//		Query query = new MyCustomScoreQuery(new TermQuery(new Term("content", "java")), fsq);
		Query query = new MyNameScoreQuery(new TermQuery(new Term("content", "java")));
		try {
			TopDocs tds = searcher.search(query, 10);
			for(ScoreDoc sd : tds.scoreDocs){
				Document doc = searcher.doc(sd.doc);
				System.out.print("文档编号=" + sd.doc + "  文档权值=" + doc.getBoost() + "  文档评分=" + sd.score + "    ");
				System.out.println("size=" + doc.get("size") + "  name=" + doc.get("name"));
			}
		} catch (CorruptIndexException e) {
			e.printStackTrace();
		} catch (IOException e) {
			e.printStackTrace();
		} finally {
			if(searcher != null){
				try {
					searcher.close();
				} catch (IOException e) {
					e.printStackTrace();
				}
			}
		}
	}
	
	
	/**
	 * 测试一下评分效果
	 */
	public static void main(String[] args) {
		new AdvancedSearchByScore().searchByCustomScoreQuery();
	}
}

下面是我们自定义的评分类MyCustomScoreQuery.java

package com.jadyer.custom;

import java.io.IOException;

import org.apache.lucene.index.IndexReader;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.function.CustomScoreProvider;
import org.apache.lucene.search.function.CustomScoreQuery;
import org.apache.lucene.search.function.ValueSourceQuery;

/**
 * 自定义评分的步骤
 * @see 1)创建一个类继承于CustomScoreQuery
 * @see 2)覆盖CustomScoreQuery.getCustomScoreProvider()方法
 * @see 3)创建一个类继承于CustomScoreProvider
 * @see 4)覆盖CustomScoreProvider.customScore()方法(我们的自定义评分主要就是在此方法中完成的)
 * @create Aug 6, 2013 10:30:46 AM
 * @author 玄玉<http://blog.csdn.net/jadyer>
 */
public class MyCustomScoreQuery extends CustomScoreQuery {
	private static final long serialVersionUID = -2373017691291184609L;
	
	public MyCustomScoreQuery(Query subQuery, ValueSourceQuery valSrcQuery) {
		//ValueSourceQuery参数就是指专门用来做评分的Query,即评分域的FieldScoreQuery
		super(subQuery, valSrcQuery);
	}
	
	@Override
	protected CustomScoreProvider getCustomScoreProvider(IndexReader reader) throws IOException {
		//如果直接返回super的,就表示使用原有的评分规则,即通过[原有的评分*传入的评分域所获取的评分]来确定最终评分
		//return super.getCustomScoreProvider(reader);
		return new MyCustomScoreProvider(reader);
	}
	
	
	private class MyCustomScoreProvider extends CustomScoreProvider {
		public MyCustomScoreProvider(IndexReader reader) {
			super(reader);
		}
		@Override
		public float customScore(int doc, float subQueryScore, float valSrcScore) throws IOException {
			//subQueryScore--表示默认文档的打分,valSrcScore--表示评分域的打分
			//该方法的返回值就是文档评分,即ScoreDoc.score获取的结果
			System.out.println("subQueryScore=" + subQueryScore + "    valSrcScore=" + valSrcScore);
			return subQueryScore/valSrcScore;
		}
	}
}

下面是自定义的采用特殊文件名作为评分标准的评分类MyNameScoreQuery.java

package com.jadyer.custom;

import java.io.IOException;

import org.apache.lucene.index.IndexReader;
import org.apache.lucene.search.FieldCache;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.function.CustomScoreProvider;
import org.apache.lucene.search.function.CustomScoreQuery;

/**
 * 采用特殊文件名作为评分标准
 * @create Aug 6, 2013 2:17:13 PM
 * @author 玄玉<http://blog.csdn.net/jadyer>
 */
public class MyNameScoreQuery extends CustomScoreQuery {
	private static final long serialVersionUID = -2813985445544972520L;
	
	public MyNameScoreQuery(Query subQuery) {
		//由于这里是打算根据文件名来自定义评分,所以重写构造方法时不必传入评分域的ValueSourceQuery
		super(subQuery);
	}
	
	@Override
	protected CustomScoreProvider getCustomScoreProvider(IndexReader reader) throws IOException {
		return new FilenameScoreProvider(reader);
	}
	
	
	private class FilenameScoreProvider extends CustomScoreProvider {
		String[] filenames;
		public FilenameScoreProvider(IndexReader reader) {
			super(reader);
			try {
				//在IndexReader没有关闭之前,所有的数据都会存储到一个预缓存中(缺点是占用大量内存)
				//所以我们可以通过预缓存获取name域的值(获取到的是name域所有值,故使用数组)
				this.filenames = FieldCache.DEFAULT.getStrings(reader, "name");
			} catch (IOException e) {
				e.printStackTrace();
			}
		}
		@Override
		public float customScore(int doc, float subQueryScore, float valSrcScore) throws IOException {
			//由于FilenameScoreQuery构造方法没有传入ValueSourceQuery,故此处ValueSourceQuery默认为1.0
			System.out.println("subQueryScore=" + subQueryScore + "    valSrcScore=" + valSrcScore);
			if(filenames[doc].endsWith(".java") || filenames[doc].endsWith(".ini")){
				//只加大java文件和ini文件的评分
				return subQueryScore*1.5f;
			}else{
				return subQueryScore/1.5f;
			}
		}
	}
}