NlpSemanticParsingModelsRecurrenceWeeklyPattern

AI Overview😉

  • The potential purpose of this module is to understand and analyze recurring events or patterns in natural language text, specifically those that occur on a weekly basis. It identifies the days of the week and the start and end dates of the recurring event.
  • This module could impact search results by allowing Google to better understand and provide more accurate results for queries related to recurring events, such as "concerts every Friday" or "weekly meetings". It may also help Google to identify and prioritize content that is relevant to specific days of the week or recurring events.
  • A website may change things to be more favorable for this function by using clear and consistent language when describing recurring events, such as specifying the days of the week and the start and end dates of the event. Additionally, using schema markup or other structured data formats to provide explicit information about recurring events may also help Google to better understand and analyze the content.

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

Pattern for a WEEKLY recurrence. You must specify at least one week_day.

Attributes

  • weekDay (type: list(String.t), default: nil) - Set of weekdays the recurrence applies to.
  • weeklyPatternEnd (type: String.t, default: nil) -
  • weeklyPatternStart (type: String.t, default: nil) -

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.NlpSemanticParsingModelsRecurrenceWeeklyPattern{
    weekDay: [String.t()] | nil,
    weeklyPatternEnd: String.t() | nil,
    weeklyPatternStart: 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.