ImageRepositoryDeepImageEngagingnessOutput

AI Overview😉

  • The potential purpose of this module is to assess the engagingness of an image, likely to determine how likely users are to interact with it or find it interesting. This could be based on various factors such as image quality, relevance, and novelty.
  • This module could impact search results by influencing the ranking of images in image search results. Images with higher DeepImageEngagingness scores may be ranked higher, making them more visible to users. This could lead to a better user experience, as users are more likely to engage with relevant and interesting images.
  • To be more favorable for this function, a website could optimize their images by ensuring they are high-quality, relevant to the content, and unique. Additionally, using descriptive alt tags, captions, and surrounding text could provide more context for the image and increase its engagingness. Furthermore, using schema markup for images could provide additional metadata that could be used to assess engagingness.

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

Attributes

  • score (type: number(), default: nil) - DeepImageEngagingness score.

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.ImageRepositoryDeepImageEngagingnessOutput{
    score: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.