RepositoryWebrefAnnotationStatsPerType

AI Overview😉

  • The potential purpose of this module is to analyze and understand the context and meaning of web pages by breaking down the content into smaller segments or tokens, and then evaluating the relevance and importance of each token type. This could help Google's algorithm to better comprehend the content of a webpage and improve the accuracy of search results.
  • This module could impact search results by influencing the ranking of web pages based on the relevance and importance of their content. Web pages with more relevant and important token types may be ranked higher in search results, while those with less relevant or important token types may be ranked lower. This could lead to more accurate and informative search results, as well as a better user experience.
  • To be more favorable for this function, a website could focus on creating high-quality, informative, and well-structured content that is rich in relevant token types. This could include using header tags (H1, H2, etc.) to break up content into logical segments, using descriptive and keyword-rich meta tags, and ensuring that the content is well-written, concise, and easy to understand. Additionally, websites could focus on creating content that is relevant to their target audience and provides value to users, as this could increase the importance and relevance of their token types.

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

Annotation statistics for each token type. Next available tag: 8.

Attributes

  • avgOpenWorld (type: number(), default: nil) - The average score for the open world for: - all ranges of this segment_type; - all capitalized ranges of this segment_type; - all uncapitalized ranges of this segment_type.
  • avgOpenWorldCap (type: number(), default: nil) -
  • avgOpenWorldUncap (type: number(), default: nil) -
  • numRangesWithCandidates (type: String.t, default: nil) - The number of ranges with candidates that made it past primary pruning for: - all ranges of this segment_type; - all capitalized ranges of this segment_type; - all uncapitalized ranges of this segment_type.
  • numRangesWithCandidatesCap (type: String.t, default: nil) -
  • numRangesWithCandidatesUncap (type: String.t, default: nil) -
  • tokenType (type: String.t, default: nil) - The segment type.

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.RepositoryWebrefAnnotationStatsPerType{
    avgOpenWorld: number() | nil,
    avgOpenWorldCap: number() | nil,
    avgOpenWorldUncap: number() | nil,
    numRangesWithCandidates: String.t() | nil,
    numRangesWithCandidatesCap: String.t() | nil,
    numRangesWithCandidatesUncap: String.t() | nil,
    tokenType: 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.