KnowledgeAnswersIntentQueryArgumentProvenance

AI Overview😉

  • Potential purpose of module in simple language: This module, KnowledgeAnswersIntentQueryArgumentProvenance, appears to be responsible for tracking the origin and context of user queries and answers. It helps Google's search algorithm understand how the current query relates to previous queries and answers, and how to use that context to provide more accurate and relevant results.
  • How it could impact search results: This module could impact search results by allowing Google's algorithm to better understand the user's intent and context. For example, if a user asks a follow-up question that refers to a previous answer, this module can help the algorithm recognize the connection and provide a more relevant response. This could lead to more accurate and personalized search results.
  • How a website may change things to be more favorable for this function: To be more favorable for this module, a website could focus on creating high-quality, contextual content that answers user questions and provides relevant information. This could include using natural language and providing clear, concise answers to common questions. Additionally, a website could use structured data and schema markup to help Google's algorithm better understand the context and relationships between different pieces of content. By doing so, a website may increase its chances of being ranked higher in search results, especially for long-tail or conversational queries.

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

NextId: 11

Attributes

  • anaphor (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceQueryAnaphor.t, default: nil) - If populated, the current query contains an anaphor that refers to the value. For example: U: Weather in Paris. [Weather(location=paris)] G: 65 degrees and sunny. U: How many people live there? [Population(city=paris)] The "there" in the current query would have the "anaphor" field set. NOTE: after a string rewrite this field will not be populated anymore if the rewrite replaced the anaphor with the corresponding value. For example, if we rewrite [How many people there] to [How many people in Paris], the CurrentQuerySignals for "paris" will not contain an "anaphor" message anymore in the following turns. It will only contain an eval_data for the span that corresponds to "paris" in the query.
  • attentionalEntity (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceAttentionalEntity.t, default: nil) -
  • currentQuery (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceCurrentQuery.t, default: nil) - NOTE: PreviousQuery is used for values that originate directly from QRef entities annotated in the user query. AttentionalEntity is used for values that come from the system (entities published by a dialog). These values could also originate from an entity annotated by QRef in the query, but this is not necessarily the case. SearchAnswerValue is used for values that come from the system as part of the answer of the user query. For example: U: Wife of Barack Obama G: Barack Obama's wife is Michelle Obama Here "Barack Obama" can have an ArgumentProvenance of PreviousQuery, or AttentionalEntity if a dialog publishes that entity and the interpretation pulls the value from it. "Michelle Obama" can have an ArgumentProvenance of SearchAnswerValue, or AttentionalEntity if the dialog publishes that entity and the interpretation pulls the value it.
  • injectedContextualSchema (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceInjectedContextualSchema.t, default: nil) -
  • previousQuery (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenancePreviousQuery.t, default: nil) -
  • previousResponseMeaning (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenancePreviousResponseMeaning.t, default: nil) -
  • previousTaskState (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenancePreviousTaskState.t, default: nil) -
  • searchAnswerValue (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceSearchAnswerValue.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.KnowledgeAnswersIntentQueryArgumentProvenance{
    anaphor:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceQueryAnaphor.t()
      | nil,
    attentionalEntity:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceAttentionalEntity.t()
      | nil,
    currentQuery:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceCurrentQuery.t()
      | nil,
    injectedContextualSchema:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceInjectedContextualSchema.t()
      | nil,
    previousQuery:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenancePreviousQuery.t()
      | nil,
    previousResponseMeaning:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenancePreviousResponseMeaning.t()
      | nil,
    previousTaskState:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenancePreviousTaskState.t()
      | nil,
    searchAnswerValue:
      GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryArgumentProvenanceSearchAnswerValue.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.