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java.lang.Object org.apache.lucene.search.postingshighlight.PassageScorer
public class PassageScorer
Ranks passages found by PostingsHighlighter
.
Each passage is scored as a miniature document within the document.
The final score is computed as norm(int)
* ∑ (weight(int, int)
* tf(int, int)
).
The default implementation is norm(int)
* BM25.
Constructor Summary | |
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PassageScorer()
Creates PassageScorer with these default values: k1 = 1.2 ,
b = 0.75 . |
|
PassageScorer(float k1,
float b,
float pivot)
Creates PassageScorer with specified scoring parameters |
Method Summary | |
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float |
norm(int passageStart)
Normalize a passage according to its position in the document. |
float |
tf(int freq,
int passageLen)
Computes term weight, given the frequency within the passage and the passage's length. |
float |
weight(int contentLength,
int totalTermFreq)
Computes term importance, given its in-document statistics. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public PassageScorer()
k1 = 1.2
,
b = 0.75
.
pivot = 87
public PassageScorer(float k1, float b, float pivot)
k1
- Controls non-linear term frequency normalization (saturation).b
- Controls to what degree passage length normalizes tf values.pivot
- Pivot value for length normalization (some rough idea of average sentence length in characters).Method Detail |
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public float weight(int contentLength, int totalTermFreq)
contentLength
- length of document in characterstotalTermFreq
- number of time term occurs in document
public float tf(int freq, int passageLen)
freq
- number of occurrences of within this passagepassageLen
- length of the passage in characters.
public float norm(int passageStart)
Typically passages towards the beginning of the document are more useful for summarizing the contents.
The default implementation is 1 + 1/log(pivot + passageStart)
passageStart
- start offset of the passage
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