VideoContentSearchVideoAnchorSetRatingScore

AI Overview😉

  • The potential purpose of this module is to evaluate the quality and usefulness of video content, specifically the descriptions and navigation within a set of videos. This helps Google's algorithm to better understand the relevance and value of the video content to the user's search query.
  • This module could impact search results by promoting videos with high-quality descriptions and useful navigation, making it easier for users to find what they're looking for. This could lead to more relevant and engaging video content being displayed in search results, improving the overall user experience.
  • To be more favorable to this function, a website may focus on creating high-quality video descriptions that accurately summarize the content, are concise, and include relevant keywords. Additionally, they may improve the navigation within their video sets by making it easy for users to find related videos, using clear and descriptive titles, and organizing videos in a logical and intuitive manner.

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

Aggregated set level rating score, used in training pipeline, etc.

Attributes

  • averageSetDescriptionQuality (type: number(), default: nil) - Average score of set level description quality.
  • averageSetNavigationUsefulness (type: number(), default: nil) - Average score of how useful the set is for navigation.

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.VideoContentSearchVideoAnchorSetRatingScore{
    averageSetDescriptionQuality: number() | nil,
    averageSetNavigationUsefulness: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.