YoutubeDiscoveryLegosLegosAnnotation

AI Overview😉

  • The potential purpose of this module is to analyze and understand the content of a YouTube video by identifying entities, formats, and relationships within the video. This helps Google to better comprehend the video's meaning and relevance, which can improve search results and video recommendations.
  • This module could impact search results by allowing Google to return more accurate and relevant video results for users' queries. For example, if a user searches for "cooking recipes for beginners," the module can help Google identify videos that not only contain the keywords but also provide a clear format (e.g., step-by-step instructions) and semantic meaning (e.g., teaching cooking techniques). This can lead to more satisfying search results and a better user experience.
  • A website or YouTube creator may change things to be more favorable for this function by providing clear and descriptive metadata for their videos, such as accurate titles, descriptions, and tags. They can also ensure that their video content is well-structured and easy to understand, with clear formatting and segmentation. Additionally, creators can focus on producing high-quality, engaging, and informative content that provides value to users, which can increase the video's relevance and ranking in search results.

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

The annotation of a document by a given entity, for a given type of relationship.

Attributes

  • entity (type: GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosEntity.t, default: nil) - The entity annotating the document.
  • format (type: GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosFormatRelationship.t, default: nil) - The annotation is a format annotation, i.e. it tells the format of the video.
  • present (type: GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosPresentRelationship.t, default: nil) - The annotation is present in the video. Semantic Legos and Presence Legos naturally overlap and can contain the same entities. However, we do not enforce a strict subset relation.
  • semantic (type: GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosSemanticRelationship.t, default: nil) - The annotation is a semantic annotation, i.e. it tells what the document is about and what the reasons to watch the video are. The annotation should be valid for the complete annotated document, not simply a part of the document such as a video segment.
  • taxonomic (type: GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosTaxonomicRelationship.t, default: nil) - The annotation is a taxonomic annotation, i.e. it tells to which class of the Legos taxonomy the document belongs to.

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.YoutubeDiscoveryLegosLegosAnnotation{
    entity:
      GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosEntity.t()
      | nil,
    format:
      GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosFormatRelationship.t()
      | nil,
    present:
      GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosPresentRelationship.t()
      | nil,
    semantic:
      GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosSemanticRelationship.t()
      | nil,
    taxonomic:
      GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosTaxonomicRelationship.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.