CorpusSelectionInfo

AI Overview😉

  • The potential purpose of this module is to evaluate and select the most relevant and high-quality content (in this case, images) from a corpus (a large collection of texts or data) to be indexed and displayed in search results. The module assesses the content's quality and relevance based on various factors, such as the corpus score, referrer documents, and URLs.
  • This module could impact search results by influencing the ranking and visibility of images in search results. Images with higher corpus scores, or those that are selected for indexing, may be more likely to appear in search results, while those with lower scores or that are not selected may be demoted or omitted. This could lead to a more curated and relevant set of image results, but may also introduce biases or inconsistencies in the ranking algorithm.
  • To be more favorable for this function, a website may consider the following strategies: Ensure high-quality and relevant images are used throughout the website. Optimize image metadata, such as alt tags, descriptions, and captions, to provide context and improve the corpus score. Use structured data and schema markup to help search engines understand the content and context of the images. Provide a clear and consistent referrer policy to help search engines understand the relationships between images and referring documents. Monitor and adjust image indexing and crawling settings to ensure that the most relevant and high-quality images are being indexed and displayed in search results.

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

Attributes

  • corpus (type: String.t, default: nil) -
  • corpusScore (type: number(), default: nil) - Corpus specific score for an image
  • isSelectedForIndexing (type: boolean(), default: nil) - Whether an image was selected for indexing.
  • referrerDocid (type: list(String.t), default: nil) - Set of referrers indexed with the image.
  • referrerUrls (type: list(String.t), default: nil) - Set of referrer urls indexed with the image.

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.CorpusSelectionInfo{
  corpus: String.t() | nil,
  corpusScore: number() | nil,
  isSelectedForIndexing: boolean() | nil,
  referrerDocid: [String.t()] | nil,
  referrerUrls: [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.