BiasingPerDocData

AI Overview😉

  • The potential purpose of this module is to introduce biasing factors into the search results, allowing Google to adjust the ranking of documents based on specific fields or attributes. This could be used to promote or demote certain types of content, sources, or perspectives.
  • This module could impact search results by altering the ranking of documents based on the biasing fields, potentially leading to a more diverse or homogeneous set of results. This could influence the visibility of certain websites, authors, or topics, and may affect the overall relevance and accuracy of the search results.
  • To be more favorable for this function, a website could focus on including relevant and high-quality content in the fields that are being biased, such as author information, publication dates, or specific keywords. Additionally, ensuring that the website's structure and markup are easily crawlable and understandable by Google's algorithms could also improve its chances of being positively biased.

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

This data is expected to appear in approximately 2 out of every 1,000 documents with an average of 2 fields per document. Rough order of size is in the hundreds of kilobytes per Mustang shard.

Attributes

  • biasingfield (type: list(GoogleApi.ContentWarehouse.V1.Model.BiasingPerDocDataBiasingField.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.BiasingPerDocData{
  biasingfield:
    [GoogleApi.ContentWarehouse.V1.Model.BiasingPerDocDataBiasingField.t()]
    | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.