OrionDocEntitiesProto

AI Overview😉

  • The potential purpose of this module is to associate a document (identified by a unique "docid") with a list of encoded entities (represented as a list of integers). This could be used to identify and extract specific entities or concepts from a document, such as people, organizations, or locations.
  • This module could impact search results by allowing Google to better understand the content and context of a document, and to provide more accurate and relevant search results. For example, if a user searches for a specific person or organization, Google could use this module to identify documents that mention that entity, and to rank those documents higher in the search results.
  • To be more favorable for this function, a website could ensure that its content is well-structured and easily machine-readable, with clear and consistent identification of entities and concepts. This could involve using schema.org markup or other forms of semantic HTML to provide additional context and meaning to the content. Additionally, a website could focus on creating high-quality, informative, and engaging content that is relevant to its target audience, which would be more likely to be identified as relevant by Google's entity extraction algorithms.

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

Attributes

  • docid (type: String.t, default: nil) -
  • encodedEntity (type: list(integer()), default: nil) - This is encoded using EntityCandidate::Encode

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.OrionDocEntitiesProto{
  docid: String.t() | nil,
  encodedEntity: [integer()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.