Boosting search results based on the number of items in a nested object

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1

Hi!

I have an index that contains a nested object:

"links_to_asset": {
	"type": "nested",
	"properties": {
		"note_link_id": {
			"type": "long"
		},
		"user_id": {
			"type": "long"
		},
		"to_asset": {
			"type": "integer"
		},
		"from_asset": {
			"type": "integer"
		}
	}
}

I'm using the nested object to track the number of assets that linking to an asset.

I would like to use the number of links to an asset is the scoring for the search results.

As an example, in the search object, I have:

should: [
  {
    term: {
      favourite: {
        value: 1,
        boost: 2
      }
    }
  }
}

Here, an asset that is a favourite is given a boost.

Is it possible to use the number of links as a criteria for the search?

2

Hi!

Would I need to use a term-sum combination or aggregate for this?

3

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