ImageContentQueryBoost

AI Overview😉

  • The potential purpose of this module is to boost the ranking of search results based on the relevance and quality of images associated with the content. It appears to be a component of the Pamir section, which may be related to image search or multimedia content.
  • This module could impact search results by giving more weight to pages with high-quality, relevant, and well-optimized images. This could lead to a better user experience, as users are more likely to engage with content that has visually appealing and informative images. On the other hand, it may also lead to the demotion of pages with low-quality or irrelevant images, even if their text content is relevant.
  • To be more favorable for this function, a website may focus on optimizing their images by using descriptive alt tags, compressing images to reduce file size, using relevant and high-quality images, and ensuring that images are properly indexed by Google. Additionally, websites may want to consider using schema markup for images, such as ImageObject, to provide more context to search engines about the images on their pages.

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

Image content based multipliers. Current usage is in the pamir_section.

Attributes

  • queryboost (type: list(GoogleApi.ContentWarehouse.V1.Model.ImageContentQueryBoostQueryBoost.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.ImageContentQueryBoost{
  queryboost:
    [GoogleApi.ContentWarehouse.V1.Model.ImageContentQueryBoostQueryBoost.t()]
    | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.