QualityPreviewSnippetDocumentFeatures

AI Overview😉

  • The potential purpose of this module is to evaluate the quality and relevance of a webpage's content, particularly in relation to the search query, and assign scores to various aspects of the page. This helps the search algorithm to determine how well the page matches the user's search intent.
  • This module could impact search results by influencing the ranking of webpages. Webpages with higher scores in areas such as title relevance, meta tags, schema.org descriptions, and content quality are more likely to appear higher in search engine results pages (SERPs). This could lead to more accurate and relevant search results, as well as a better user experience.
  • To be more favorable for this function, a website could:
    • Use descriptive and accurate title tags that match the search query.
    • Optimize meta tags and descriptions to provide a clear summary of the page's content.
    • Implement schema.org markup to provide additional context about the page's content.
    • Ensure high-quality, relevant, and engaging content that matches the user's search intent.
    • Avoid using unstable or low-quality content that may negatively impact the scores.

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

Document related features used in snippets scoring. Next ID: 10

Attributes

  • experimentalTitleSalientTermsScore (type: number(), default: nil) -
  • leadingtextDistanceScore (type: number(), default: nil) -
  • metaBoostScore (type: number(), default: nil) -
  • salientPositionBoostScore (type: number(), default: nil) -
  • salientTermsScore (type: number(), default: nil) -
  • schemaOrgDescriptionBoostScore (type: number(), default: nil) -
  • unstableTokensScore (type: number(), default: nil) -

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.QualityPreviewSnippetDocumentFeatures{
    experimentalTitleSalientTermsScore: number() | nil,
    leadingtextDistanceScore: number() | nil,
    metaBoostScore: number() | nil,
    salientPositionBoostScore: number() | nil,
    salientTermsScore: number() | nil,
    schemaOrgDescriptionBoostScore: number() | nil,
    unstableTokensScore: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.