FatcatCompactDocClassification

AI Overview😉

  • The potential purpose of this module is to classify and categorize web pages into different types and topics, such as verticals, geographic locations, products, and services. It also detects sensitive content and page types. This helps Google understand the content and context of a webpage, enabling it to provide more accurate and relevant search results.
  • This module could impact search results by influencing the ranking of web pages based on their classification and categorization. For example, if a webpage is classified as belonging to a specific vertical or geographic location, it may be more likely to appear in search results for related queries. Additionally, the detection of sensitive content may affect the webpage's visibility in search results or trigger content filters.
  • A website may change things to be more favorable for this function by ensuring that their content is accurately and consistently categorized and tagged. This could include using clear and descriptive metadata, such as title tags, meta descriptions, and header tags, as well as structured data like schema.org markup. Additionally, websites may want to review their content to ensure it is accurate, relevant, and respectful, as this may positively impact their classification and ranking.

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

The result of PetacatAnnotator. Each result contains: 1. RephilClusters; 2. At most 5 verticals from each taxonomy, sorted by the probabilities in descending order. 3. Binary classification results about page types and sensitive content. The types of taxonomies include: verticals4, geo, verticals4_geo, products_services, icm_im_audiences and icm_im_audiences_dev.

Attributes

  • binary (type: list(GoogleApi.ContentWarehouse.V1.Model.FatcatCompactBinaryClassification.t), default: nil) -
  • clusters (type: GoogleApi.ContentWarehouse.V1.Model.FatcatCompactRephilClusters.t, default: nil) -
  • epoch (type: String.t, default: nil) -
  • langCode (type: String.t, default: nil) -
  • rephilModelId (type: integer(), default: nil) - The id of the Rephil model used to generate the Rephil clusters. If it is absent, Rephil 4 is assumed.
  • taxonomic (type: list(GoogleApi.ContentWarehouse.V1.Model.FatcatCompactTaxonomicClassification.t), default: nil) -
  • url (type: String.t, default: nil) - not needed if the url is the sstable / bigtable key used during intermediate processing only
  • weight (type: String.t, default: nil) - The relative weight of this doc within a site, typically something like pagerank or navboost impressions. May be a large number (like an actual pageviews estimate), not limited to a small range.

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.FatcatCompactDocClassification{
  binary:
    [GoogleApi.ContentWarehouse.V1.Model.FatcatCompactBinaryClassification.t()]
    | nil,
  clusters:
    GoogleApi.ContentWarehouse.V1.Model.FatcatCompactRephilClusters.t() | nil,
  epoch: String.t() | nil,
  langCode: String.t() | nil,
  rephilModelId: integer() | nil,
  taxonomic:
    [
      GoogleApi.ContentWarehouse.V1.Model.FatcatCompactTaxonomicClassification.t()
    ]
    | nil,
  url: String.t() | nil,
  weight: 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.