NlpSemanticParsingModelsMediaMusicPlaylist

AI Overview😉

  • The potential purpose of this module is to analyze and understand natural language queries related to music playlists, such as "gym playlist" or "80s remix". It aims to identify the intent behind the query, extract relevant information, and provide a structured representation of the query.
  • This module could impact search results by improving the relevance and accuracy of music-related search queries. For example, if a user searches for "workout music", the module could help identify the user's intent and provide more targeted results, such as playlists or radio stations that match the user's workout preferences. Additionally, the module's ability to detect long-tail mood-based playlists could lead to more personalized and unique search results.
  • To be more favorable for this function, a website could optimize its content and metadata to better match natural language queries. This could include using descriptive and relevant keywords in titles, descriptions, and tags, as well as providing structured data about music playlists, such as genres, moods, and activities. Additionally, websites could use schema markup to provide additional context about their content, which could help the module better understand the intent behind user queries.

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

Example: "gym playlist"

Attributes

  • annotationList (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaMediaAnnotationList.t, default: nil) - Annotations from custom media annotator.
  • evalData (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t, default: nil) - Required, but should only be used inside Aqua and must not be used by outside clients!!
  • isAnnotatedFromText (type: boolean(), default: nil) - Annotation comes from a text annotator. Needed to boost recall. Typically need to be verified in superroot, and have separate scoring.
  • longtailMood (type: boolean(), default: nil) - If the model is confident that this is a bizarre long-tail mood-based playlist, it can send a signal to downstream systems (that might do things like generate random music) Example: * [play music for brushing my teeth with the lights off on tuesday] This is pretty much an 'easter egg' -- it is not critical.
  • normalizedText (type: String.t, default: nil) - Optional, some canonical name for the playlist.
  • qref (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingQRefAnnotation.t, default: nil) - Needed for proto conformance in Semantic Parsing.
  • rawText (type: String.t, default: nil) - Required, corresponds to the raw text, like "80s remix" (tokenized)
  • special (type: String.t, 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.NlpSemanticParsingModelsMediaMusicPlaylist{
    annotationList:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsMediaMediaAnnotationList.t()
      | nil,
    evalData:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
      | nil,
    isAnnotatedFromText: boolean() | nil,
    longtailMood: boolean() | nil,
    normalizedText: String.t() | nil,
    qref:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingQRefAnnotation.t()
      | nil,
    rawText: String.t() | nil,
    special: 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.