NlpSemanticParsingEntitySourceData

AI Overview😉

  • The potential purpose of this module is to identify and track the sources of information used to build an entity's semantic understanding. This includes the backends or databases from which different parts of an entity's data were retrieved.
  • This module could impact search results by influencing how entities are ranked and presented. If an entity's information is sourced from multiple high-quality backends, it may be considered more trustworthy and relevant, leading to a higher ranking. Conversely, if an entity's information is sourced from low-quality or untrustworthy backends, it may be penalized in search results.
  • To be more favorable for this function, a website could ensure that it provides clear and transparent information about its data sources, and that it uses high-quality and trustworthy backends to retrieve entity data. Additionally, a website could focus on building a robust and comprehensive entity understanding by aggregating data from multiple sources, which could lead to a more accurate and complete representation of the entity.

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

Attributes

  • entitySources (type: list(String.t), default: nil) - Indicates backends from which parts of an entity were retrieved.

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.NlpSemanticParsingEntitySourceData{
  entitySources: [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.