NlpSemanticParsingModelsMediaEpisodeConstraint

AI Overview😉

  • The potential purpose of this module is to help Google understand natural language queries related to media episodes, such as TV shows or podcasts, and to identify specific episodes based on attributes like episode number, air date, or description.
  • This module could impact search results by allowing Google to return more accurate and relevant results for queries like "latest episode of [TV show]" or "episode of [podcast] about [topic]". It could also help Google to better understand the context and intent behind a query, and to provide more personalized and relevant results.
  • A website may change things to be more favorable for this function by providing clear and consistent metadata about their media episodes, such as episode numbers, air dates, and descriptions. They could also use schema markup to provide additional context and structure to their content, making it easier for Google to understand and index. Additionally, using natural language and keywords related to the episode's content in the title, description, and metadata could also help Google to better match the episode with relevant queries.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Example: "latest" would constrain the episode to a certain ordinal.

Attributes

  • absoluteIndex (type: integer(), default: nil) - The absolute index of the episode. 1 is the first element and -1 is the last element in the sequence, -2 is the second-to-last element, and so on. Examples: "first episode" => 1 "3rd episode" => 3 "last episode" => -1
  • dateTime (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDatetimeDateTime.t, default: nil) - Date/time of the message. This could be an absolute date/time (e.g. find my message from monday) or a date/time range (e.g. find my message in the past four hours). This constrains when the episode came out.
  • description (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaDescription.t, default: nil) - A description of the episode. Example: For the query: [listen to this american life about cars] the description would be "cars"
  • 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!!
  • rawText (type: String.t, default: nil) -
  • relativeIndex (type: integer(), default: nil) - The relative index of the episode. Examples: "previous episode" => -1 "current episode" => 0 "next episode" => 1

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.NlpSemanticParsingModelsMediaEpisodeConstraint{
    absoluteIndex: integer() | nil,
    dateTime:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDatetimeDateTime.t()
      | nil,
    description:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaDescription.t()
      | nil,
    evalData:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
      | nil,
    rawText: String.t() | nil,
    relativeIndex: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.