在 Solr 中的查询时忽略 tf/idf

问题描述

我正在尝试根据字段值提升特定文档.它通常工作正常，但一些文档返回更高的分数，即使它们具有较小的提升值.

I am trying to boost particular documents based on a field value. It is generally working ok but some documents return a higher score even though they have a smaller boost value.

在使用 debugQuery=on 请求参数调试查询后，我注意到 idf 函数为特定文档返回了更高的分数，这影响了整体得分.

After debugging the query with the debugQuery=on request parameter I have noticed that the idf function is returning a higher score for a particular document, which is affecting the overall score.

有没有办法在查询时忽略 tf/idf 评分?

Is there a way to ignore tf/idf scoring at query time?

推荐答案

您需要创建一个自定义 Similarity 覆盖 tf 和 idf 方法，并使用它代替 DefaultSimilarity.

You'll want to create a custom Similarity which overrides the tf and idf methods, and use it in place of the DefaultSimilarity.

类似:

class CustomSimilarity extends DefaultSimilarity {

    @Override
    public float tf(float freq) {
        return 1.0;
    }

    @Override
    public float tf(int freq) {
        return 1.0;
    }

    @Override
    // Note the signature of this method may now take longs:
    //   public float idf(long docFreq, long numDocs)
    public float idf(int docFreq, int numDocs) {
        return 1.0;
    }
}

将其设置为在您的 schema.xml 中使用该相似性:

The set it to use that similarity in your schema.xml:

<similarity class="myorg.mypackage.CustomSimilarity"/>

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