NlpSemanticParsingModelsMediaMovie

AI Overview😉

  • The potential purpose of this module is to analyze and understand natural language queries related to media, such as movies, and extract relevant information like titles, annotations, and metadata. This module appears to be part of Google's semantic parsing system, which aims to improve search results by better understanding the intent and context of user queries.
  • This module could impact search results by providing more accurate and relevant results for media-related queries. For example, if a user searches for "Casablanca", this module could help identify the movie title, extract relevant metadata, and provide a more precise answer or recommendation. This could lead to improved user experience and increased engagement with search results.
  • To be more favorable for this function, a website could ensure that their media-related content, such as movie titles, descriptions, and metadata, are accurately and consistently represented across their platform. This could involve using standardized schema markup, providing high-quality and descriptive content, and ensuring that their website is easily crawlable and indexable by search engines. Additionally, websites could focus on creating high-quality, user-friendly, and relevant content that aligns with user intent, increasing the chances of being surfaced as a top result for media-related queries.

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

Example: "Casablanca"

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.
  • isFromFastPath (type: boolean(), default: nil) - Is annotated by Nimble for the media Fast Path.
  • providerMetadata (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaProviderMetadata.t), default: nil) -
  • qref (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingQRefAnnotation.t, default: nil) -
  • rawText (type: String.t, default: nil) - Required, corresponds to the raw text, like "Casablanca"

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.NlpSemanticParsingModelsMediaMovie{
  annotationList:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaMediaAnnotationList.t()
    | nil,
  evalData:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
    | nil,
  isAnnotatedFromText: boolean() | nil,
  isFromFastPath: boolean() | nil,
  providerMetadata:
    [
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaProviderMetadata.t()
    ]
    | 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.