ImageContentFlowProtoProd

AI Overview😉

  • The potential purpose of this module is to analyze and store image-related content signals in production, allowing Google to better understand and rank images in search results. The "starburst" attribute suggests that it's related to image recognition and classification.
  • This module could impact search results by influencing the ranking of images, potentially promoting images that are more accurately classified or recognized by Google's algorithms. This could lead to more relevant and accurate image search results, but also potentially biasing results towards images that are more easily classified.
  • To be more favorable for this function, a website could optimize its image content by: Using descriptive and accurate alt tags and file names for images Providing high-quality and well-compressed images Organizing images into structured data, such as schema.org markup Ensuring images are easily crawlable and indexable by search engines Using relevant and consistent image metadata, such as captions and descriptions

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

The subset of FlowProto that we want to go into production AND be stored in ContentSignals.

Attributes

  • starburst (type: list(GoogleApi.ContentWarehouse.V1.Model.ImageContentStarburstVersionGroup.t), default: nil) - Repeated so that multiple versions can exist in prod simultaneously.

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.ImageContentFlowProtoProd{
  starburst:
    [GoogleApi.ContentWarehouse.V1.Model.ImageContentStarburstVersionGroup.t()]
    | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.