NlpSemanticParsingModelsDialogReferentsListSelection

AI Overview😉

  • Potential purpose of module:

    This module appears to be responsible for identifying and processing user selections from a list of alternatives, such as selecting an item from a dropdown menu or choosing an option from a set of radio buttons. It helps the search algorithm understand the user's intent and preferences.

  • Impact on search results:

    This module could impact search results by influencing the ranking of pages based on how well they match the user's selection. For example, if a user selects a specific brand or model from a list, the search algorithm may prioritize pages that exactly match that selection. This could lead to more relevant and personalized search results.

  • Changes to be more favorable:

    To be more favorable for this function, a website could:

    • Use clear and concise language when presenting lists of alternatives to users.
    • Ensure that list items are accurately labeled and easily identifiable.
    • Implement user-friendly selection mechanisms, such as dropdown menus or radio buttons.
    • Use semantic HTML and structured data to help search engines understand the context and meaning of list items.

Interesting Module? Vote 👇

Voting helps other researchers find interesting modules.

Current Votes: 0

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

Represents the user's selection from a list of alternatives.

Attributes

  • evalData (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t, default: nil) -
  • id (type: String.t, default: nil) - A unique identifier that is the canonical value for the chosen list item. If we are selecting among fields, this is the field_id specified in the corresponding DialogField.
  • looseOffsetRestriction (type: boolean(), default: nil) - If true, semantic function should look at watch actions in the following display entity if the first one is not playable. This is useful for "Play it" on entity page.
  • offset (type: integer(), default: nil) - The offset within the list, if know. If the list of values wasn't known (e.g. from the discourse context) then the offset is a zero-based mapping of the ordinal value of the selection ("first one" maps to zero; "last one" to minus one).
  • rawText (type: String.t, default: nil) - When the user selects a list value by name then this is the matched text from the utterance. Note that, if the list of values is known, then the aqua annotator should have mapped it to an offset.

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.NlpSemanticParsingModelsDialogReferentsListSelection{
    evalData:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
      | nil,
    id: String.t() | nil,
    looseOffsetRestriction: boolean() | nil,
    offset: integer() | nil,
    rawText: 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.