NlpSemanticParsingModelsMediaQuantification

AI Overview😉

  • The potential purpose of this module is to identify and quantify devices or entities mentioned in a search query, such as "three speakers" or "all TVs". This helps Google understand the context and intent behind the search.
  • This module could impact search results by allowing Google to better match search queries with relevant content that includes the specified quantity of devices or entities. For example, a search for "three speakers" might prioritize results that specifically mention three speakers, rather than just any speakers.
  • To be more favorable for this function, a website could ensure that its content includes clear and specific quantifications of devices or entities, such as "our package includes three speakers" or "our store has all TVs from top brands". This could help Google's algorithm better understand the content and match it with relevant search queries.

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

The quantification of device(s) in the query. For example, "three speakers", "all TVs", etc. Usually, we should have either lexical field or number field. However, there are some special words which we will set both fields. For example, "all 3" will have the semantic: {lexical=ALL, number=3}. Note that "both" is simply modeled as {lexical=ALL}.

Attributes

  • lexical (type: String.t, default: nil) -
  • number (type: integer(), default: nil) - Numerical quantification. E.g., "three speakers".

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.NlpSemanticParsingModelsMediaQuantification{
    lexical: String.t() | nil,
    number: integer() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.