Lucene的评分如何取决于查询的相对位置? [英] How can Lucene's scoring depend on relative position of query?

问题描述

我使用WhitespaceAnalyzer作为查询分析器. 如果我有2个文档:

I use WhitespaceAnalyzer as query analyzer. If I have 2 documents:

| text | a b c |
| text | b a c |

text是一个字段.

现在索引结构是这样的:

Now the index structure is something like this:

|Term|  in document | 
| a  | a b c / b a c|
| b  | a b c / b a c|
| c  | a b c / b a c|

我有一个查询:

| text | a b c |

如何为a b c获得更高的分数，而为b a c获得更低的分数.

How can I get a higher score for a b c and a lower one for b a c.

Lucene是否支持根据相对位置来计算分数?

Does Lucene support calculating score depending on relative position?

我发现这会有所帮助:

PhraseQuery phraseQuery = new PhraseQuery();
phraseQuery.setSlop(1);

这样，他们将获得不同的分数.

In this way they would get different scores.

查看更多信息: http://www.blogjava. net/tangzurui/archive/2008/09/22/230357.html

And here I come across another question: > https://stackoverflow.com/Questions/18394532/Lucenes如何根据字词在文档中的相对位置进行评分

推荐答案

短语匹配的得分贡献取决于距离:

The score contribution of a phrase match depends on the distance:

• 距离最高分= 0(完全匹配).
• 距离越远，得分就越低.

对于您的案例，查询"a b c"将与文档"a b c"匹配，且距离为0.这将导致短语得分最高.对于文档"b a c"，距离将大于0.因此，得分将减小.

For your case query "a b c" will match with document "a b c" with distance 0. This will result to highest phrase score. For document "b a c" distance will be more than 0. So Score will be less.

有关更多详细信息，请参见 org.apache.lucene.search.SloppyPhraseScorer 类的源代码.

For more details look at source code of org.apache.lucene.search.SloppyPhraseScorer Class.

这篇关于Lucene的评分如何取决于查询的相对位置?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！