YoutubeDiscoveryLegosLegosPresentRelationship

AI Overview😉

  • The potential purpose of this module is to analyze and understand the relationships between entities mentioned in a YouTube video's content, such as people, objects, or concepts, and to determine the confidence level of these relationships. The module is focused on "present" relationships, meaning it's analyzing the entities that are directly mentioned or shown in the video.
  • This module could impact search results by influencing the ranking of YouTube videos based on their relevance to a user's search query. For example, if a user searches for a specific topic, the module's confidence score could help determine which videos are most likely to be relevant to that topic, even if the video's title or description doesn't explicitly mention it. This could lead to more accurate and personalized search results.
  • A website may change things to be more favorable for this function by ensuring that their YouTube video content is accurately and thoroughly annotated with relevant entities and relationships. This could include using descriptive titles, tags, and descriptions that clearly indicate the entities mentioned in the video, as well as providing additional context through captions, subtitles, or other metadata. By providing more accurate and comprehensive information, websites can increase the confidence score of their video's relationships, making them more likely to appear in relevant search results.

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

Description of a present Legos annotation.

Attributes

  • confidence (type: number(), default: nil) - Confidence score. Thresholding at the confidence score at 0.XX yields annotations of precision of at least XX%.
  • contexts (type: list(GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosSemanticRelationshipContext.t), default: nil) - Extra context about how the entity relates to the document. Typically vertical-specific. Please refrain from populating this field as we're working on migrating most of the use cases to the LegosEntity proto so clients don't have to scan all relationships to know which annotations they may be interested in.

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

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.