ReneEmbedding

AI Overview😉

  • The potential purpose of this module is to analyze and represent the semantic meaning of a piece of content, such as a webpage or a document, using embedding vectors and clustering techniques. This allows Google's algorithm to better understand the context and relationships between different pieces of content.
  • This module could impact search results by influencing the ranking of webpages based on their semantic meaning and relevance to the search query. It may help to identify and promote high-quality content that is more closely related to the search intent, and demote low-quality or irrelevant content.
  • To be more favorable to this function, a website may focus on creating high-quality, informative, and well-structured content that clearly conveys its meaning and relevance. This could include using natural language processing techniques to optimize content, organizing content into clear topics and categories, and ensuring that content is easily accessible and crawlable by search engines.

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

Message to represent an embedding vector with clusters.

Attributes

  • clusterList (type: GoogleApi.ContentWarehouse.V1.Model.ReneEmbeddingClusterList.t, default: nil) - Token information of the embedding vector if available.
  • compressedValue (type: String.t, default: nil) - Compressed value of the embedding. For example, different versions of starburst signals use different compressor to generate the value.
  • denseFeatureFloatValues (type: list(number()), default: nil) - Optional feature map output from the model. Note: this is not applicable to some models.
  • floatValues (type: list(number()), default: nil) - Values of the embedding vector.
  • floatValuesBeforeProjection (type: list(number()), default: nil) - Optional embedding vector prior to projection. Note: this is not applicable to some models.

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.ReneEmbedding{
  clusterList:
    GoogleApi.ContentWarehouse.V1.Model.ReneEmbeddingClusterList.t() | nil,
  compressedValue: String.t() | nil,
  denseFeatureFloatValues: [number()] | nil,
  floatValues: [number()] | nil,
  floatValuesBeforeProjection: [number()] | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.