KnowledgeAnswersIntentQueryQrefAnnotationSignals

AI Overview😉

  • The potential purpose of this module is to analyze and score the relevance and confidence of annotations (additional information) associated with search queries, particularly those related to trusted names (e.g., brands, entities). This module aims to improve the accuracy of search results by assessing the credibility and importance of these annotations.
  • This module could impact search results by influencing the ranking of pages that have annotations with high scores and trusted name confidence signals. This could lead to more accurate and relevant results, especially for searches related to specific entities or brands. It may also help to demote or filter out low-quality or spammy content that lacks credible annotations.
  • To be more favorable for this function, a website could focus on:
    • Providing high-quality, relevant, and accurate annotations for their content, especially those related to trusted names.
    • Ensuring that their annotations are properly structured and formatted to facilitate easy parsing and analysis by Google's algorithm.
    • Establishing a strong brand identity and building trust with users, which could lead to higher trusted name confidence signals.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Signals associated with Qref annotations.

Attributes

  • score (type: float(), default: nil) - Numeric value associated with each annotation within the Qref servlet output.
  • trustedNameConfidence (type: float(), default: nil) - Trusted name confidence signal https://g3doc.corp.google.com/repository/webref/preprocessing/names/tnc_classifier/README.md

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.KnowledgeAnswersIntentQueryQrefAnnotationSignals{
    score: float() | nil,
    trustedNameConfidence: float() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.