NlpSciencelitRetrievalSnippetDebugInfo

AI Overview😉

  • The potential purpose of this module is to evaluate the quality of search result snippets by comparing them to ideal or "gold" snippets. It appears to assess how well the generated snippet overlaps with the gold snippet, both at the sentence and highlight level. This helps Google to refine its snippet generation algorithm and provide more accurate and relevant results to users.
  • This module could impact search results by influencing the ranking of pages based on the quality of their snippets. Pages with snippets that closely match the gold snippets may be considered more relevant and therefore ranked higher. Conversely, pages with low-quality snippets may be demoted in the rankings. This could lead to a better user experience, as users are presented with more accurate and informative snippets that accurately represent the content of the page.
  • A website may improve its snippet quality and therefore its search engine ranking by ensuring that its content is well-structured, easy to read, and contains clear and concise summaries of the main points. This could involve using header tags, short paragraphs, and bullet points to make the content more scannable. Additionally, websites could focus on creating high-quality, informative, and engaging titles and meta descriptions that accurately represent the content of the page. By doing so, they may increase the likelihood of their snippets being considered high-quality and therefore improve their search engine rankings.

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

Returned by Delver API in Snippet.debug_info.

Attributes

  • goldHighlightSentenceIndices (type: list(integer()), default: nil) - Which highlights have sentence overlap with gold snippets. Not ordered. Might only be set for the first gold highlight.
  • highlightIdxToOverlap (type: map(), default: nil) - Map of highlight index to best overlap with any gold snippet [0,1].
  • highlightIdxToSentenceOverlap (type: map(), default: nil) - Map of highlight index to best overlap with any gold sentence [0,1].
  • isGold (type: boolean(), default: nil) - Not set by server; only used by certain evals. Might only be set for the first gold snippet.
  • offsetWithinSection (type: integer(), default: nil) - Byte index of text within the full section text (or within title).
  • sectionIndex (type: integer(), default: nil) - Section within the document. -1 if title.
  • sectionIrScore (type: number(), default: nil) - IR score of the section the snippet is coming from.
  • snippetBleuScore (type: number(), default: nil) - BLEU score for the entire snippet.

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.NlpSciencelitRetrievalSnippetDebugInfo{
    goldHighlightSentenceIndices: [integer()] | nil,
    highlightIdxToOverlap: map() | nil,
    highlightIdxToSentenceOverlap: map() | nil,
    isGold: boolean() | nil,
    offsetWithinSection: integer() | nil,
    sectionIndex: integer() | nil,
    sectionIrScore: number() | nil,
    snippetBleuScore: number() | nil
  }

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.