SdrEmbedding

AI Overview😉

  • The potential purpose of this module is to analyze and understand the semantic meaning of web page content using embedded representations (embeddings) of words or phrases. This helps Google's algorithm to better comprehend the context and relationships between words on a page, ultimately improving the search results.
  • This module could impact search results by influencing the ranking of web pages based on how well their content aligns with the search query's semantic meaning. Pages with more accurate and relevant embeddings may be considered more relevant and therefore rank higher in search results. This could lead to more accurate and informative search results, as well as potentially demoting pages with low-quality or misleading content.
  • To be more favorable for this function, a website could focus on creating high-quality, informative, and well-structured content that accurately conveys the intended meaning. This could include using clear and concise language, organizing content with logical headings and subheadings, and ensuring that the content is relevant to the target audience. Additionally, using schema markup and other semantic HTML elements can help search engines better understand the content's meaning and context. By doing so, a website may increase its chances of being considered more relevant and authoritative, potentially leading to improved search engine rankings.

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

Attributes

  • compressedEmbeddings (type: GoogleApi.ContentWarehouse.V1.Model.QualityRankembedMustangMustangRankEmbedInfo.t, default: nil) -
  • values (type: list(number()), default: nil) -
  • version (type: integer(), 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.SdrEmbedding{
  compressedEmbeddings:
    GoogleApi.ContentWarehouse.V1.Model.QualityRankembedMustangMustangRankEmbedInfo.t()
    | nil,
  values: [number()] | nil,
  version: integer() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.