RepositoryWebrefAnnotationRatings

AI Overview😉

  • The potential purpose of this module is to analyze and understand how relevant a webpage is to a specific topic or query, based on human ratings. It seems to be a part of Google's algorithm that assesses the quality and relevance of web pages.
  • This module could impact search results by influencing the ranking of web pages. Web pages with higher human-rated relevance may be more likely to appear higher in search engine results pages (SERPs), while those with lower ratings may be demoted. This could lead to more accurate and relevant search results for users.
  • To be more favorable for this function, a website may focus on creating high-quality, relevant, and informative content that accurately addresses the topic or query. This could include using clear and concise language, providing valuable insights or information, and ensuring that the content is well-organized and easy to navigate. Additionally, websites may want to encourage user engagement and feedback to help improve the relevance ratings.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Human ratings of webref annotations (document-level ratings, mention-level ratings, etc.).

Attributes

  • docLevelRelevanceRatings (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefDocLevelRelevanceRatings.t, 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.RepositoryWebrefAnnotationRatings{
  docLevelRelevanceRatings:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefDocLevelRelevanceRatings.t()
    | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.