NlpSemanticParsingModelsShoppingAssistantStore

AI Overview😉

  • The potential purpose of this module is to help Google understand the physical store location and details of a merchant, allowing it to provide more accurate and relevant search results for users searching for products or services related to that store.
  • This module could impact search results by allowing Google to: Provide more accurate location-based search results Offer more relevant product suggestions based on the store's inventory and location Improve the overall shopping experience for users by providing more detailed information about the store
  • To be more favorable for this function, a website may: Ensure that their store's location and details are accurately and consistently represented across the web Provide clear and concise information about their store's products and services Use structured data and schema markup to help Google understand their store's details and location

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

A merchant's physical store.

Attributes

  • id (type: String.t, default: nil) - Local store identifier.
  • location (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalLocation.t, default: nil) - The location of the store.
  • name (type: String.t, default: nil) - A name for the store. Example: Walmart - Cranberry

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.NlpSemanticParsingModelsShoppingAssistantStore{
    id: String.t() | nil,
    location:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingLocalLocation.t()
      | nil,
    name: 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.