ImageQualityNavboostImageQualityClickSignals

AI Overview😉

  • The potential purpose of this module is to evaluate the quality of image search results by tracking user clicks and interactions, specifically "good clicks" as defined by Google's Vision Evaluation (GVE) framework. This helps Google understand which images are most relevant and useful to users.
  • This module could impact search results by influencing the ranking of image search results. Images with higher "good click" rates, as measured by GVE, may be considered more relevant and therefore ranked higher in search results. This could lead to a better user experience, as users are more likely to find relevant and useful images. Conversely, images with low "good click" rates may be demoted in search results.
  • To be more favorable for this function, a website could optimize its image content to increase the likelihood of "good clicks" from users. This could include using high-quality, relevant, and descriptive images, as well as optimizing image metadata and alt text to improve discoverability. Additionally, websites could focus on creating a better user experience, such as by using responsive design and fast loading times, to increase the chances of users engaging with their images.

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

Next ID: 3

Attributes

  • clicks (type: number(), default: nil) -
  • gveClicks (type: number(), default: nil) - Good clicks that are defined using GVE (go/gve-history).

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.ImageQualityNavboostImageQualityClickSignals{
    clicks: number() | nil,
    gveClicks: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.