View Source GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSet (google_api_content_warehouse v0.4.0)

Contains anchor level features that apply to all anchor types. Next id: 22.

Attributes

  • anchorQbstDistance (type: number(), default: nil) - QBST distance between the anchor and the top navboost query of the video if exists, or the video title otherwise.
  • asrAverageBabelSimilarityScore (type: number(), default: nil) - Average of babel similarity between the anchor and all asr sentences.
  • asrMaximumBabelSimilarityScore (type: number(), default: nil) - Maximum babel similarity between the anchor and the asr sentences.
  • bleurtFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchBleurtFeatures.t, default: nil) - Features needed for Bleurt inference.
  • bleurtScore (type: number(), default: nil) - The Bleurt inference score generated using the bleurt_features.
  • descartesScoreWithTitle (type: number(), default: nil) - Descartes similarity score between video title and anchor label.
  • descriptionAverageBabelSimilarityScore (type: number(), default: nil) - Average of babel similarity between the anchor and all description sentences.
  • descriptionMaximumBabelSimilarityScore (type: number(), default: nil) - Maximum babel similarity between the anchor and the description sentences.
  • dolphinDescriptivenessScore (type: number(), default: nil) - The predicted descriptiveness and usefulness rating scores generated by the Unified Dolphin model. Rating template: experimental/video/video_anchors_oneside_without_thumbnail/template.jhtml
  • dolphinEnsembleScore (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinEnsembleScore.t), default: nil) - If the dolphin model is an ensemble model, this contains the scores associated to each individual ensemble model.
  • dolphinFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinFeatures.t, default: nil) - The features used to generate the Dolphin score.
  • dolphinScore (type: number(), default: nil) - The score generated by the Dolphin callout model.
  • dolphinUsefulnessScore (type: number(), default: nil) -
  • labelPhraseEmbedding (type: list(number()), default: nil) - A phrase embedding for the anchor label. The model used to generate the embedding can be found in VideoAnchorSets: video_score_info.common_features.label_phrase_embedding_model
  • mumDescriptivenessScore (type: number(), default: nil) - The predicted descriptiveness of the anchor using the MUM unified scoring model.
  • mumUsefulnessScore (type: number(), default: nil) - The predicted usefulness of the anchor using the MUM unified scoring model.
  • retentionScore (type: number(), default: nil) - A score that is correlated with retention probability of the interval associated with this anchor (start time to end time). Retention probability of an interval is 1 - (probability the user does not watch the interval all the way through, given they started watching it). This score may be predicted by a model, or calculated from actual retention data.
  • saftDocument (type: GoogleApi.ContentWarehouse.V1.Model.NlpSaftDocument.t, default: nil) - A saft document generated from the anchor label.
  • timedLabelFeatures (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionLabelFeatures.t), default: nil) - For annotating labels and their timing and context info. For example, this is used for anchor labels within a passage.
  • timestamp (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSetLabelSpanTimestamp.t), default: nil) -
  • titleAnchorBabelMatchScore (type: number(), default: nil) - Babel similarity between the anchor and the video title.

Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Types

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSet{
    anchorQbstDistance: number() | nil,
    asrAverageBabelSimilarityScore: number() | nil,
    asrMaximumBabelSimilarityScore: number() | nil,
    bleurtFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchBleurtFeatures.t()
      | nil,
    bleurtScore: number() | nil,
    descartesScoreWithTitle: number() | nil,
    descriptionAverageBabelSimilarityScore: number() | nil,
    descriptionMaximumBabelSimilarityScore: number() | nil,
    dolphinDescriptivenessScore: number() | nil,
    dolphinEnsembleScore:
      [
        GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinEnsembleScore.t()
      ]
      | nil,
    dolphinFeatures:
      GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinFeatures.t()
      | nil,
    dolphinScore: number() | nil,
    dolphinUsefulnessScore: number() | nil,
    labelPhraseEmbedding: [number()] | nil,
    mumDescriptivenessScore: number() | nil,
    mumUsefulnessScore: number() | nil,
    retentionScore: number() | nil,
    saftDocument: GoogleApi.ContentWarehouse.V1.Model.NlpSaftDocument.t() | nil,
    timedLabelFeatures:
      [
        GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionLabelFeatures.t()
      ]
      | nil,
    timestamp:
      [
        GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSetLabelSpanTimestamp.t()
      ]
      | nil,
    titleAnchorBabelMatchScore: number() | nil
  }

Functions

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

Unwrap a decoded JSON object into its complex fields.