YoutubeDiscoveryLegosLegosSemanticRelationship

AI Overview😉

  • Potential purpose of module: This module, YoutubeDiscoveryLegosLegosSemanticRelationship, appears to be responsible for analyzing the semantic relationships between entities, concepts, or topics within a YouTube video. It assigns a confidence score to these relationships, indicating the likelihood that the video is about a specific topic or intent.
  • Impact on search results: This module could impact search results by influencing the ranking of videos based on their relevance to a user's search query. Videos with higher confidence scores for specific topics or intents may be ranked higher in search results, as they are more likely to be relevant to the user's search.
  • Optimization for this function: To be more favorable for this function, a website or YouTube video could focus on creating high-quality, topic-specific content that clearly conveys its intent or topic. This could involve using relevant keywords, creating descriptive titles and descriptions, and ensuring that the video's content aligns with its title and description. Additionally, using structured data and schema markup on the website or video's metadata could help search engines better understand the content's semantic relationships and assign a higher confidence score.

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

Description of a semantic Legos annotation. http://go/legos/project.md#semantic-intent-annotations

Attributes

  • confidence (type: number(), default: nil) - Confidence score. Thresholding at the confidence score at 0.XX yields annotations of precision of at least XX%. Only filled in the intent definition Legos. Please use IsSemanticAnnotationAtConfidenceThreshold() from video/youtube/discovery/legos/annotations/public/legos_annotations_util.h to obtain only intent definition Legos. For more information on the migration please look at go/legos-intent-migration.
  • contexts (type: list(GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosSemanticRelationshipContext.t), default: nil) -
  • topicalityScore (type: float(), default: nil) - DEPRECATED. Please use confidence instead. Will be set to the same value as confidence in early January 2019. See go/legos-intent-migration for more information.

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.YoutubeDiscoveryLegosLegosSemanticRelationship{
    confidence: number() | nil,
    contexts:
      [
        GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosSemanticRelationshipContext.t()
      ]
      | nil,
    topicalityScore: float() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.