RepositoryWebrefSimplifiedAnchor

AI Overview😉

The potential purpose of this module is to analyze and separate anchor text data into onsite and offdomain anchors, allowing for a more nuanced understanding of how users interact with a website and its related content. This could help Google's algorithm better understand the relevance and authority of a website.
This module could impact search results by influencing how Google weights and ranks websites based on their anchor text data. Websites with a high number of onsite anchors may be seen as more authoritative or relevant, while those with a high number of offdomain anchors may be seen as less so. This could lead to changes in search rankings and visibility for certain websites.
A website may change things to be more favorable for this function by ensuring that their onsite anchors are high-quality, relevant, and numerous, while also limiting the number of offdomain anchors. This could involve optimizing internal linking structures, creating high-quality and relevant content, and reducing the number of external links. Additionally, websites may want to focus on building a strong brand identity and establishing themselves as an authority in their niche, which could lead to more onsite anchors and improved search rankings.

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

Represents a subpart of the anchor data of the docjoins, but is much smaller. When we build this SimplifiedAnchor from the anchor data of the docjoins, by specifying the option separate_onsite_anchors to SimplifiedAnchorsBuilder, we can also separate the onsite anchors from the other (offdomain) anchors. So onsite anchors and offdomain anchors will have their own count, score, normalized score, and total volume (.._offdomain and .._onsite fields). For example, if there are 10 onsite anchors and 20 offdomain anchors for the anchor text "mountain view", then the count_from_onsite is 10, and the count_from_offdomain is 20 when we separate onsite anchors out. Otherwise (if we don't separate onsite anchors), the count is 30 (10 + 20) and we don't have values in the .._offdomain and .._onsite fields.

Attributes

anchorIndices (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefAnchorIndices.t, default: nil) - The set of (equivalent from WebRef point of view) anchors used to produce this segment.
anchorText (type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefLocalizedString.t, default: nil) - The anchor text. Note that the normalized text is not populated.
count (type: String.t, default: nil) - The number of times we see this anchor text.
countFromOffdomain (type: String.t, default: nil) - Count, score, normalized score, and volume of offdomain anchors.
countFromOnsite (type: String.t, default: nil) - Count, score, normalized score, and volume of onsite anchors.
normalizedScore (type: number(), default: nil) - The normalized score, which is computed from the score and the total_volume.
normalizedScoreFromOffdomain (type: number(), default: nil) -
normalizedScoreFromOnsite (type: number(), default: nil) -
score (type: number(), default: nil) - The sum/aggregate of the anchor scores that have the same text.
scoreFromFragment (type: number(), default: nil) - The sum/aggregate of the anchor scores that direct to a fragment and have the same text.
scoreFromOffdomain (type: number(), default: nil) -
scoreFromOffdomainFragment (type: number(), default: nil) -
scoreFromOnsite (type: number(), default: nil) -
scoreFromOnsiteFragment (type: number(), default: nil) -
scoreFromRedirect (type: number(), default: nil) - The sum/aggregate of the anchor scores that direct to a different wiki title and have the same text. NOTE: url direct to a fragment score is not included in this value.
totalVolume (type: number(), default: nil) - The total score volume used for normalization.
totalVolumeFromOffdomain (type: number(), default: nil) -
totalVolumeFromOnsite (type: number(), 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.RepositoryWebrefSimplifiedAnchor{
  anchorIndices:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefAnchorIndices.t() | nil,
  anchorText:
    GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefLocalizedString.t()
    | nil,
  count: String.t() | nil,
  countFromOffdomain: String.t() | nil,
  countFromOnsite: String.t() | nil,
  normalizedScore: number() | nil,
  normalizedScoreFromOffdomain: number() | nil,
  normalizedScoreFromOnsite: number() | nil,
  score: number() | nil,
  scoreFromFragment: number() | nil,
  scoreFromOffdomain: number() | nil,
  scoreFromOffdomainFragment: number() | nil,
  scoreFromOnsite: number() | nil,
  scoreFromOnsiteFragment: number() | nil,
  scoreFromRedirect: number() | nil,
  totalVolume: number() | nil,
  totalVolumeFromOffdomain: number() | nil,
  totalVolumeFromOnsite: number() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.