LensDiscoveryStyleAestheticsScoreSignals

AI Overview😉

  • The potential purpose of this module is to analyze and score the aesthetic appeal of images on a website, likely to improve the user experience and provide more visually appealing search results.
  • This module could impact search results by prioritizing websites with high-quality, visually appealing images, potentially pushing them higher in the search rankings. This could lead to a better user experience, as users are more likely to engage with websites that have attractive and relevant images.
  • To be more favorable for this function, a website could ensure that their images are high-quality, relevant to the content, and visually appealing. This could include using high-resolution images, optimizing image file sizes, and using images that are relevant to the topic or theme of the website. Additionally, websites could consider using image compression tools and optimizing their image loading times to improve the overall user experience.

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

Aesthetics score of a style image. Check http://go/styleai-indexing-g3doc#aesthetic-model for more details about the Style AI Aesthetics Model.

Attributes

  • discretizedAestheticsScore (type: integer(), default: nil) - Aesthetics score discretized into range [0, 100].
  • version (type: String.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.LensDiscoveryStyleAestheticsScoreSignals{
    discretizedAestheticsScore: integer() | nil,
    version: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.