VideoLegosLegosAnnotationsSet

AI Overview😉

  • The potential purpose of this module is to analyze and process video content, specifically YouTube videos, to extract relevant information and annotations. This could be used to improve video search results, provide more accurate video recommendations, or enhance video content discovery.
  • This module could impact search results by influencing the ranking and visibility of videos in search results. It may prioritize videos with more accurate or relevant annotations, or those that are more engaging or informative. This could lead to a better user experience, as users are more likely to find high-quality and relevant video content.
  • To be more favorable for this function, a website may focus on providing high-quality, engaging, and informative video content. They could also ensure that their video metadata, such as titles, descriptions, and tags, are accurate and relevant. Additionally, they may consider using YouTube's annotation features, such as cards, end screens, and subtitles, to provide more context and value to their videos.

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

Attributes

  • featureSetName (type: String.t, default: nil) -
  • legosAnnotations (type: GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosAnnotations.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.VideoLegosLegosAnnotationsSet{
  featureSetName: String.t() | nil,
  legosAnnotations:
    GoogleApi.ContentWarehouse.V1.Model.YoutubeDiscoveryLegosLegosAnnotations.t()
    | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.