KnowledgeAnswersNumberType

AI Overview😉

  • The potential purpose of this module is to help Google's search algorithm understand and process numeric values in search queries, such as zip codes, sports jersey numbers, or other types of numerical data. It allows the algorithm to retain the original formatting and meaning of the numeric value, rather than converting it to a standard float-type object.
  • This module could impact search results by allowing the algorithm to more accurately understand and match search queries that contain numeric values. For example, if a user searches for "01" as a zip code, the algorithm can retain the leading zero and match it to relevant results, rather than treating it as a numerical value of 1. This could lead to more accurate and relevant search results, especially in cases where numeric values have specific meanings or formatting.
  • A website may change things to be more favorable for this function by using structured data and schema markup to provide clear and consistent formatting for numeric values. This could include using specific HTML tags or attributes to identify numeric values, such as zip codes or phone numbers, and providing additional context or metadata to help the algorithm understand the meaning and formatting of these values. Additionally, websites could use natural language processing (NLP) and entity recognition techniques to help the algorithm identify and extract numeric values from unstructured data, such as text or images.

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

A NumberType configures a value whose type is intended to be numeric.

Attributes

  • componentSpecificContracts (type: GoogleApi.ContentWarehouse.V1.Model.NlpMeaningComponentSpecificContracts.t, default: nil) - Contains data about the contracts that this ValueType level is available for. For more information see go/contract-based-conformance.
  • keepAsString (type: boolean(), default: nil) - If true, the semantics of the NumberType argument are retained as a string, rather than being converted to a float-type object. This option is particularly useful in cases where leading 0s in the user input are meaningful, e.g. for zip codes or sports jersey numbers. For the user- specified value "01", for instance, the PathQuery semantics will be: def $Slot "01"
  • rangeConstraint (type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersRangeConstraint.t, default: nil) - Range constraint limits the set of numbers accepted by this type. The constraint applies to all subtypes. Currently, this constraint is only enforced in Loose Parser.
  • remodelings (type: GoogleApi.ContentWarehouse.V1.Model.NlpMeaningMeaningRemodelings.t, default: nil) - Contains data about current schema remodelings at this ValueType level. For more information see go/meaning-remodeling-framework.
  • subType (type: list(String.t), default: nil) - sub_type is a list of the NumberSubTypes which are accepted. If the list is empty, that means all numeric or ordinal values are accepted. If multiple values are specified, then this value accepts any of the sub_types in the list.

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.KnowledgeAnswersNumberType{
  componentSpecificContracts:
    GoogleApi.ContentWarehouse.V1.Model.NlpMeaningComponentSpecificContracts.t()
    | nil,
  keepAsString: boolean() | nil,
  rangeConstraint:
    GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersRangeConstraint.t()
    | nil,
  remodelings:
    GoogleApi.ContentWarehouse.V1.Model.NlpMeaningMeaningRemodelings.t() | nil,
  subType: [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.