NlpSemanticParsingModelsShoppingAssistantBrandPhrase

AI Overview😉

  • The potential purpose of this module is to identify and extract brand-related phrases from search queries, allowing Google to better understand the user's intent and provide more accurate results. This module is part of the Natural Language Processing (NLP) semantic parsing model, specifically designed for shopping-related searches.
  • This module could impact search results by allowing Google to prioritize results from specific brands, especially when the search query explicitly mentions a brand name. For example, if a user searches for "Nike running shoes," this module would help Google understand that the user is looking for products from the Nike brand, and return results accordingly. This could lead to more relevant and targeted search results.
  • To be more favorable for this function, a website could optimize its content by:
    • Including clear and consistent branding throughout the website, especially in product titles, descriptions, and metadata.
    • Using schema markup to highlight brand information, such as product brand names and logos.
    • Creating high-quality, brand-specific content that matches user search intent, such as product reviews or tutorials featuring specific brands.

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

A brand can be any combination of text or mid.

Attributes

  • mid (type: String.t, default: nil) -
  • rawText (type: String.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.NlpSemanticParsingModelsShoppingAssistantBrandPhrase{
    mid: String.t() | nil,
    rawText: 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.