CustomScoreQuery类
构造函数
Constructor Summary | |
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( subQuery) Create a CustomScoreQuery over input subQuery. | |
( subQuery, ... scoringQueries) Create a CustomScoreQuery over input subQuery and a . | |
( subQuery, scoringQuery) Create a CustomScoreQuery over input subQuery and a . |
FunctionQuery,FunctionQuery(ValueSource valueSource),自定义评分query;
ValueSource,读取某个域的评分,ValueSource valueSource = new IntFieldSource("score");读取Score域的评分;
通过重写getCustomScoreProvider(AtomicReaderContext)修改评分计算方法
getCustomScoreProvider默认计算方法
super.getCustomScoreProvider(reader):原有评分*传入评分域评分
CustomScoreProvider类
重写 customScore( int doc, float subQueryScore, float valSrcScore)方法,
- doc是文件编号
- subQueryScore是原有评分值
- valSrcScore是传入域的评分值
在这个方法里,可以编写自己的算法,操作两个评分值
1、原有评分*传入的评分域打分
1 Query subquery = new TermQuery(new Term("content", "java")); 2 //评分域 3 ValueSource valueSource = new IntFieldSource("score"); 4 FunctionQuery fq = new FunctionQuery(valueSource );//自定义评分query 5 //自定义评分query 6 MyCustomScoreQuery myCustomScoreQuery = new MyCustomScoreQuery(subquery ,fq ); 7 8 private class MyCustomScoreQuery extends CustomScoreQuery { 9 10 public MyCustomScoreQuery(Query subQuery , FunctionQuery fq) {11 super(subQuery ,fq ); 12 // TODO Auto-generated constructor stub 13 } 14 15 protected CustomScoreProvider getCustomScoreProvider(AtomicReaderContext reader ) throws IOException { 16 return super .getCustomScoreProvider(reader); 17 } 18 }
2、原有评分/传入评分域打分
1 private class MyCustomScoreQuery extends CustomScoreQuery { 2 3 public MyCustomScoreQuery(Query subQuery , FunctionQuery fq) { 4 super(subQuery ,fq ); 5 // TODO Auto-generated constructor stub 6 } 7 8 protected CustomScoreProvider getCustomScoreProvider(AtomicReaderContext reader ) throws IOException { 9 //return super.getCustomScoreProvider(reader);10 return new MyCustomScoreProvider(reader); 11 } 12 } 13 14 private class MyCustomScoreProvider extends CustomScoreProvider { 15 public MyCustomScoreProvider(AtomicReaderContext reader){ 16 super(reader ); 17 } 18 19 public float customScore(int doc, float subQueryScore, float valSrcScore) throws IOException{ 20 //return super.customScore(doc, subQueryScore, valSrcScore); 21 return subQueryScore /valSrcScore; 22 } 23 }
3、根据文件名评分,指定的特殊文件名获得更高的评分比重
[1]从reader的缓存中获得文件名
Lucene4.0前,Sring[] filenames = FieldCache. DEFAULT.getString( "filename" ); Lucene4.0后,没有了getString,getByte也变成了 Deprecate。
所以采用了下面的方法获取StringField
Binaryvalues filenames = FieldCache. DEFAULT.getTerms( atomicReader, "filename" , false);
[2]针对每个文件名进行操作
String filename = filenames.get(doc ).utf8ToString();