結果内のドキュメントのスコアリング

使用法

To include the score of each document in your search results, use the $project stage in your aggregation pipeline.

• For the $search stage, the score field takes the $meta expression, which requires the searchScore value. You can also specify the searchScoreDetails value for the scoreDetails field $meta expression for a detailed breakdown of the score.

• For the $vectorSearch stage, the score field takes the $meta expression, which requires the vectorSearchScore value to return the score of each document in your vector search results.

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db.movies.aggregate([
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  {
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    "$search": {
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      "text": {
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        <operator-specification>
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      }
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    }
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  },
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  {
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    "$project": {
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      "<field-to-include>": 1,
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      "<field-to-exclude>": 0,
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      "score": { "$meta": "searchScore" }
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    }
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  }
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])

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db.movies.aggregate([
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  {
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    "$search": {
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      "text": {
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        <operator-specification>
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      },
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      "scoreDetails": true
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    }
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  },
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  {
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    "$project": {
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      "<field-to-include>": 1,
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      "<field-to-exclude>": 0,
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      "scoreDetails": { "$meta": "searchScoreDetails" }
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    }
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  }
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])

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db.movies.aggregate([
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  {
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    "$vectorSearch": {
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      <query-syntax>
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    }
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  },
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  {
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    "$project": {
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      "<field-to-include>": 1,
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      "<field-to-exclude>": 0,
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      "score": { "$meta": "vectorSearchScore" }
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    }
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  }
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])

動作

The score assigned to a returned document is part of the document's metadata. You can use a $project stage in your aggregation pipeline to include each returned document's score along with the result set. Documents return from highest score to lowest. Many factors can influence a document's score, including the following:

• ドキュメント内の検索語の位置。

• ドキュメント内の検索語の出現頻度。

• MongoDB Search クエリが使用する 演算子 または アナライザ のタイプ。

Lucene スコアリングアルゴリズムの詳細については、 Lucene ドキュメントを参照してください。

Tutorials