NlpSemanticParsingModelsMediaBook

AI Overview😉

  • Potential purpose of module in simple language: This module appears to be a natural language processing (NLP) model that analyzes book-related search queries. It breaks down the query into its constituent parts, identifies the book being referred to, and extracts additional information such as whether the user is looking for the latest book by a particular author.
  • How it could impact search results: This module could impact search results by allowing Google to better understand the intent behind book-related searches. For example, if a user searches for "Dan Brown's latest book", the module could identify the author and the intent to find the latest book, and return more relevant results. It could also help to disambiguate searches where the title of the book is similar to other phrases or keywords.
  • How a website may change things to be more favorable for this function: A website may optimize for this module by using clear and consistent metadata for book titles, authors, and publication dates. This could include using schema.org markup to identify books and their attributes, as well as providing clear and concise title tags and descriptions. Additionally, websites that provide up-to-date information on new book releases and authors' latest works may be more likely to be returned as relevant results for searches that use this module.

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

Example: "East of Eden"

Attributes

  • annotationList (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaMediaAnnotationList.t, default: nil) - Annotations from custom media annotator.
  • evalData (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t, default: nil) - Required, but should only be used inside Aqua and must not be used by outside clients!!
  • isAnnotatedFromText (type: boolean(), default: nil) - Annotation comes from a text annotator. Needed to boost recall. Typically need to be verified in superroot, and have separate scoring.
  • latest (type: boolean(), default: nil) - If true, indicates the user wants the latest book. Like, [play Dan Brown's latest book]
  • qref (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingQRefAnnotation.t, default: nil) -
  • rawText (type: String.t, default: nil) - Required, corresponds to the raw text, like "East of Eden"

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.NlpSemanticParsingModelsMediaBook{
  annotationList:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaMediaAnnotationList.t()
    | nil,
  evalData:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
    | nil,
  isAnnotatedFromText: boolean() | nil,
  latest: boolean() | nil,
  qref:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingQRefAnnotation.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.