SmearedWebLandingPageEntry

AI Overview😉

  • The potential purpose of this module is to associate web landing pages with their corresponding image search documents. This allows Google to connect the dots between image search results and the web pages they originate from.
  • This module could impact search results by influencing the ranking of web pages that have associated image search documents. For example, if a web page has a high-ranking image search result, this module may boost the ranking of the web page in regular search results. This could lead to more relevant and visually appealing search results.
  • To be more favorable for this function, a website could ensure that its image content is properly indexed and associated with its web pages. This could be achieved by using descriptive alt tags, optimizing image file names, and providing high-quality images that are relevant to the web page's content. Additionally, websites could consider using schema markup to provide additional context about their images and web pages.

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

For legacy purposes, cdocs contain a repeated list of *Entry, whereas it's more convenient elsewhere to contain this information within its own protocol buffer.

Attributes

  • imagesearchDocid (type: String.t, default: nil) - Source imagesearch docid
  • webDocid (type: String.t, default: nil) - Docid of web landing page

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.SmearedWebLandingPageEntry{
  imagesearchDocid: String.t() | nil,
  webDocid: 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.