NlpSemanticParsingModelsShoppingAssistantProductMediaProductMediaAttributeValue

AI Overview😉

  • The potential purpose of this module is to extract and analyze product attributes from media content, such as text describing a product, and match them to a knowledge graph identifier (mid). This allows Google to better understand the product and its features, and provide more accurate search results.
  • This module could impact search results by allowing Google to provide more specific and relevant results for product-related searches. For example, if a user searches for "products with author John Doe", Google can use this module to identify products that have an "author" attribute with the value "John Doe" and rank them higher in the search results.
  • A website may change things to be more favorable for this function by providing clear and structured product attribute data, such as using schema.org markup to define product attributes like "author", "brand", or "color". This would allow Google to more easily extract and analyze this data, and provide more accurate search results.

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

Attributes

  • mid (type: String.t, default: nil) - The knowledge graph identifier for the attribute
  • rawText (type: String.t, default: nil) - Raw text of the media attribute (eg. author)

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.NlpSemanticParsingModelsShoppingAssistantProductMediaProductMediaAttributeValue{
    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.