RepositoryWebrefAnnotatorCheckpointFprint

AI Overview😉

  • The potential purpose of this module is to track changes and identify the source of differences in annotations, which are likely related to web page content or metadata. This allows Google to debug and improve its annotation process, ensuring more accurate search results.
  • This module could impact search results by helping Google to identify and correct errors or inconsistencies in its annotation process, leading to more accurate and relevant search results. It may also help Google to detect and mitigate attempts to manipulate search rankings through artificial annotation.
  • To be more favorable for this function, a website may focus on providing high-quality, consistent, and accurate metadata and content, making it easier for Google's annotators to correctly identify and understand the content. This could include using clear and descriptive titles, meta descriptions, and header tags, as well as ensuring that content is well-structured and easily crawlable.

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

Holds annotator checkpoints which record the state of the annotations. This is useful for tracking down the source of diffs, in particular for non-determinism.

Attributes

  • fingerprint (type: String.t, default: nil) -
  • label (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.RepositoryWebrefAnnotatorCheckpointFprint{
    fingerprint: String.t() | nil,
    label: 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.