Solr/Lucene记分器 [英] Solr/Lucene Scorer

问题描述

我们目前正在为使用Solr的客户端进行概念验证，并且能够配置除计分之外他们想要的所有功能.

We are currently working on a proof-of-concept for a client using Solr and have been able to configure all the features they want except the scoring.

问题是他们希望分数能够使结果落入桶中

Problem is that they want scores that make results fall in buckets:

• 时段1:类别完全匹配(得分= 4)
• 时段2:姓名完全匹配(得分= 3)
• 时段3:部分匹配(得分= 2)
• 时段4:姓名部分匹配(得分= 1)

我们要做的第一件事是开发一个自定义相似性类，该类将根据字段和完全或部分匹配项返回正确的分数.

First thing we did was develop a custom similarity class that would return the correct score depending on the field and an exact or partial match.

现在唯一的问题是，当文档在类别和名称上都匹配时，分数就会加在一起.

The only problem now is that when a document matches on both the category and name the scores are added together.

示例:搜索餐厅"会返回类别餐厅中的文件，其名称中也带有餐厅字样，因此得到5分(4 + 1分)，但只能得到4分.

Example: searching for "restaurant" returns documents in the category restaurant that also have the word restaurant in their name and thus get a score of 5 (4+1) but they should only get 4.

我想为此工作，我们需要开发一个自定义的Scorer类，但是我们不知道如何将其整合到Solr中. 另一种选择是创建类似于Solr中已经存在的RandomSortField的自定义SortField实现.

I assume for this to work we would need to develop a custom Scorer class but we have no clue on how to incorporate this in Solr. Another option is to create a custom SortField implementation similar to the RandomSortField already present in Solr.

也许还有一个我们不知道的更简单的解决方案.

Maybe there is even a simpler solution that we don't know about.

欢迎所有建议！

推荐答案

您可以覆盖逻辑Solr计分器使用的逻辑. Solr使用DefaultSimilarity类进行评分.

根据需要创建一个扩展DefaultSimilarity的类并覆盖函数tf()，idf()等:

You can override the logic solr scorer uses. Solr uses DefaultSimilarity class for scoring.

Make a class extending DefaultSimilarity and override the functions tf(), idf() etc according to your need:

public class CustomSimilarity extends DefaultSimilarity {

  public CustomSimilarity() {
    super();
  }

  public float tf(int freq) {
    //your code  
    return (float) 1.0;
  }

  public float idf(int docFreq, int numDocs) {
    //your code
    return (float) 1.0;
  }

}

创建类后，编译并创建一个jar.

将jar放在相应索引或核心的lib文件夹中.

更改相应索引的schema.xml: <similarity class="<your package name>.CustomSimilarity"/>

After creating the class compile and make a jar.

Put the jar in lib folder of corresponding index or core.

Change the schema.xml of corresponding index: <similarity class="<your package name>.CustomSimilarity"/>

您可以查看影响得分的各种因素此处

You can check out various factors affecting score here

根据您的要求，如果您的分数在特定范围内，则可以创建存储桶.另请参阅有关字段增强，文档增强等的信息.这可能对您有帮助.

For your requirement you can create buckets if your score is in specific range. Also read about field boosting, document boosting etc. That might be helpful in your case.

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