NlpSemanticParsingModelsShoppingAssistantProductClassification

AI Overview😉

  • The potential purpose of this module is to identify and categorize products mentioned in search queries or website content into specific categories such as "video games", "books", or "movies". This helps Google to understand the context and intent behind the search query, and provide more relevant and accurate search results.
  • This module could impact search results by influencing the ranking of websites that sell or review products in these categories. For example, if a website is correctly identified as selling video games, it may be ranked higher in search results for queries related to video games. Conversely, if a website is incorrectly categorized, it may be ranked lower or not shown at all. This module could also impact the display of search results, such as the inclusion of product information or reviews in the search snippet.
  • A website may change things to be more favorable for this function by ensuring that their product pages and descriptions accurately and clearly identify the product category. This could include using relevant keywords, providing detailed product information, and using structured data such as schema.org markup to help Google understand the product context. Additionally, websites may want to ensure that their product titles and descriptions are concise and accurately reflect the product being sold, to help Google's algorithm correctly categorize the product.

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

Whether the product being described fits into specific categories (e.g., "video games").

Attributes

  • bookConfidence (type: number(), default: nil) - TODO(ppoudyal) Expand confidence to cases where the product phrase might be a book/movie/video_game but isn't just a title The score (between 0 - 1) measuring the confidence that product
  • isVideoGame (type: boolean(), default: nil) - TODO(ppoudyal) Deprecate is_video_game once the score covers all cases covered by $VideoGameProductPhrase The product phrase contains a video game title.
  • movieConfidence (type: number(), default: nil) - phrase mentions a book title The score (between 0 - 1) measuring the confidence that product
  • videoGameConfidence (type: number(), default: nil) - phrase mentions a movie title The score (between 0 - 1) measuring the confidence that product

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.NlpSemanticParsingModelsShoppingAssistantProductClassification{
    bookConfidence: number() | nil,
    isVideoGame: boolean() | nil,
    movieConfidence: number() | nil,
    videoGameConfidence: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.