KnowledgeAnswersFacetParsing

AI Overview😉

  • The potential purpose of this module is to help Google's search algorithm understand the meaning and context of specific pieces of information or "facets" within a search result. This module seems to be focused on parsing and interpreting these facets, which are derived from neural or lexical models, to provide more accurate and relevant search results.
  • This module could impact search results by allowing Google to better understand the nuances of search queries and provide more precise answers. For example, if a user searches for "best restaurants in New York City", this module could help Google's algorithm identify the "best" facet as referring to a rating or review, and provide results that are more relevant to the user's intent. This could lead to more accurate and informative search results, and potentially improve the user experience.
  • A website may change things to be more favorable for this function by providing clear and structured data about their content, such as using schema markup to identify specific facets like ratings, reviews, or prices. Additionally, using natural language processing and entity recognition techniques to identify and extract relevant information from their content could also help Google's algorithm better understand the meaning and context of their pages. This could potentially improve the website's visibility and ranking in search results.

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

Construct for how to construe a facet when parse from neural or lexical models. Unlike regular intent annotations, facets are post-hoc grounded to indicated spoans, so they also need to provide their input and output slot independently.

Attributes

  • facetName (type: String.t, default: nil) - Optional, as this can take the name of the slot/schema its associated with or it might need to map onto something different.
  • inputSlotName (type: String.t, default: nil) - Required, the slot into which we put any ungrounded string or mid
  • outputSlotName (type: String.t, default: nil) - Optional, if absent output_type will be used for typing, or this is a MRF operator

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.KnowledgeAnswersFacetParsing{
  facetName: String.t() | nil,
  inputSlotName: String.t() | nil,
  outputSlotName: 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.