NlpSemanticParsingLocalCompoundLocation

AI Overview😉

  • The potential purpose of this module is to analyze and understand natural language queries that involve locations, such as "nearest Starbucks" or "coffee shops near me". It appears to break down these queries into their constituent parts, including the location being searched for (e.g. "Starbucks") and the relationship between the user's current location and the desired location (e.g. "nearest").
  • This module could impact search results by allowing Google to better understand the user's intent and provide more relevant results. For example, if a user searches for "nearest Starbucks", Google can use this module to identify the user's current location and provide a list of nearby Starbucks locations. This could lead to more accurate and relevant search results, especially for location-based queries.
  • To be more favorable to this function, a website could optimize its content to include clear and concise location-based information, such as addresses, zip codes, and geographic coordinates. Additionally, using structured data and schema markup to provide location-based information could help Google's algorithm better understand the website's content and provide more accurate search results. Furthermore, using natural language and long-tail keywords related to locations could also improve the website's visibility for location-based searches.

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

Attributes

  • joiner (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalJoiner.t, default: nil) -
  • location1 (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalLocation.t, default: nil) -
  • location2 (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalLocation.t, default: nil) - If location_2 is absent, it should likely be interpreted as an implicit "here". For example, "nearest Starbucks" will be represented as a compound location with "Starbucks" as location_1, "nearest" as the joiner, and empty location_2.

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.NlpSemanticParsingLocalCompoundLocation{
    joiner:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalJoiner.t()
      | nil,
    location1:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalLocation.t()
      | nil,
    location2:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalLocation.t()
      | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.