ImageMustangImageLinkSelectionInfo

AI Overview😉

  • The potential purpose of this module is to assess the relevance of an image link to the content of a web page. It calculates a "webRelevanceScore" which determines how well the image link is related to the web page.
  • This module could impact search results by influencing the ranking of image links in search engine results pages (SERPs). Image links with higher webRelevanceScore are likely to be ranked higher, as they are considered more relevant to the user's search query.
  • To be more favorable to this function, a website could optimize its image links by ensuring they are highly relevant to the content of the web page. This could be achieved by using descriptive alt tags, surrounding text that accurately describes the image, and optimizing image file names and URLs to include target keywords.

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GoogleApi.ContentWarehouse.V1.Model.ImageMustangImageLinkSelectionInfo (google_api_content_warehouse v0.4.0)

For detailed info, please see go/naive-image-selection

Attributes

  • webRelevanceScore (type: float(), default: nil) - score calculated in image selection phase, higher imagelink_selection_score more relevant the link is related to the web page

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.ImageMustangImageLinkSelectionInfo{
  webRelevanceScore: float() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.