DrishtiVesperUserReportHumanLabel

AI Overview😉

  • The potential purpose of this module is to analyze and categorize user-generated content based on its raciness level, which could be used to filter out explicit or offensive content from search results or to provide more accurate and relevant results to users based on their preferences.
  • This module could impact search results by:
    • Filtering out explicit or offensive content from search results, making them more family-friendly.
    • Providing more accurate and relevant results to users based on their preferences, such as safe search or explicit content filters.
    • Influencing the ranking of search results, with content deemed more "racy" potentially being demoted or removed from results.
  • To be more favorable for this function, a website could:
    • Clearly label and categorize its content, making it easier for the algorithm to understand and analyze.
    • Implement content filtering or rating systems, allowing users to select their preferred level of explicitness.
    • Ensure that its content is accurately and transparently labeled, avoiding misleading or deceptive practices.

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

Proto holding values for details about human labels.

Attributes

  • racyLevel (type: String.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.DrishtiVesperUserReportHumanLabel{
  racyLevel: 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.