调整权重相同名称的特定字段的Lucene搜索结果得分

|| 我目前正在使用Lucene作为我们的全文搜索引擎。但是我们需要根据特定字段对搜索结果进行排序。 例如，如果我们的索引中包含以下三个文档，除了
id
字段外，它们的内容完全相同。 
    val document01 = new Document()
    val field0100 = new Field(\"id\", \"1\", Field.Store.YES, Field.Index.ANALYZED)
    val field0101 = new Field(\"contents\", \"This is a test: Linux\", Field.Store.YES, Field.Index.ANALYZED)
    val field0102 = new Field(\"contents\", \"This is a test: Windows\", Field.Store.YES, Field.Index.ANALYZED)
    document01.add(field0100)
    document01.add(field0101)
    document01.add(field0102)

    val document02 = new Document()
    val field0200 = new Field(\"id\", \"2\", Field.Store.YES, Field.Index.ANALYZED)
    val field0201 = new Field(\"contents\", \"This is a test: Linux\", Field.Store.YES, Field.Index.ANALYZED)
    val field0202 = new Field(\"contents\", \"This is a test: Windows\", Field.Store.YES, Field.Index.ANALYZED)
    document02.add(field0200)
    document02.add(field0201)
    document02.add(field0202)

    val document03 = new Document()
    val field0300 = new Field(\"id\", \"3\", Field.Store.YES, Field.Index.ANALYZED)
    val field0301 = new Field(\"contents\", \"This is a test: Linux\", Field.Store.YES, Field.Index.ANALYZED)
    val field0302 = new Field(\"contents\", \"This is a test: Windows\", Field.Store.YES, Field.Index.ANALYZED)
    document03.add(field0300)
    document03.add(field0301)
    document03.add(field0302)
现在，当我使用IndexSearcher搜索
Linux
时，得到以下结果： 
Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
搜索
Windows
时，得到的结果相同。 
Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
问题是建立索引时是否可以权衡特定字段？例如，如果搜索时匹配make6 like，我希望它具有更高的分数。 换句话说，当我搜索
Linux
时，我想按以下顺序获得结果： 
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
当我搜索
Windows
时，它仍然保持原始顺序，如下所示： 
Document<stored,indexed,tokenized<id:1> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:2> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
Document<stored,indexed,tokenized<id:3> stored,indexed,tokenized<contents:This is a test: Linux> stored,indexed,tokenized<contents:This is a test: Windows>>
我尝试使用
field0201.setBoost()
，但是当我搜索
Linux
或
Windows
时，都会改变搜索结果的顺序。     
2020-03-10 2 条评论
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没有找到相关结果

    已邀请:

    泪琉踞檄

    我认为，将不同来源的数据放在不同名称的字段中应该是可能的。您可以在索引时间设置一个增强，但是如果您使用相同的名称，我认为该增强将适用于所有具有相同名称的字段-基于ѭ​​14ѭjavadoc。因此，如果您改为这样做： 
    val field0201 = new Field(\"content-high\", \"This is a test: Linux\", ...)
field0201.setBoost(1.5f)
val field0202 = new Field(\"content-low\", \"This is a test: Windows\", ...)
    然后使用
    content-high:Linux content-low:Linux
    查询（使用带有两个都设置为术语Linux的布尔值查询的布尔查询），然后，如果匹配项位于该字段中，则content-high的提升应增加文档得分。用
    explain
    看看是否有效。     
    2020-03-10 0 0
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