RepositoryWebrefImageMention

AI Overview😉

  • The potential purpose of this module is to analyze and identify images mentioned on the web and associate them with a confidence score, indicating how likely it is that the image is relevant to the search query. This module seems to be part of Google's image search functionality.
  • This module could impact search results by influencing the ranking of images in image search results. Images with higher confidence scores may be more likely to appear at the top of search results, while those with lower scores may be ranked lower. This could affect the visibility of certain images and the overall quality of search results.
  • A website may change things to be more favorable for this function by optimizing their image content to increase the confidence score. This could be achieved by using descriptive alt tags, relevant file names, and surrounding text that clearly indicates the content of the image. Additionally, ensuring that images are properly indexed and crawlable by Google's image search bot could also improve the confidence score.

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

Attributes

  • confidenceScore (type: number(), default: nil) -
  • imageDocid (type: String.t, default: nil) - https://source.corp.google.com/piper///depot/google3/image/search/imagedoc.proto;bpv=1;bpt=1;rcl=592258038;l=275 cdoc -> doc_images -> canonical_docid corresponds to the Image Doc ID

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.RepositoryWebrefImageMention{
  confidenceScore: number() | nil,
  imageDocid: String.t() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.