VideoContentSearchAnchorCommonFeatureSet

GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSet


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Description

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

Attributes List

This module has the following attributes (case-insensitive ascending order):

View Attributes

Attributes

  1. 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.
  2. asrAverageBabelSimilarityScore (type: number(), default: nil)
    - Average of babel similarity between the anchor and all asr sentences.
  3. asrMaximumBabelSimilarityScore (type: number(), default: nil)
    - Maximum babel similarity between the anchor and the asr sentences.
  4. bleurtFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchBleurtFeatures, default: nil)
    - Features needed for Bleurt inference.
  5. bleurtScore (type: number(), default: nil)
    - The Bleurt inference score generated using the bleurt_features.
  6. descartesScoreWithTitle (type: number(), default: nil)
    - Descartes similarity score between video title and anchor label.
  7. descriptionAverageBabelSimilarityScore (type: number(), default: nil)
    - Average of babel similarity between the anchor and all description sentences.
  8. descriptionMaximumBabelSimilarityScore (type: number(), default: nil)
    - Maximum babel similarity between the anchor and the description sentences.
  9. 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
  10. dolphinEnsembleScore (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinEnsembleScore), default: nil)
    - If the dolphin model is an ensemble model, this contains the scores associated to each individual ensemble model.
  11. dolphinFeatures (type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinFeatures, default: nil)
    - The features used to generate the Dolphin score.
  12. dolphinScore (type: number(), default: nil)
    - The score generated by the Dolphin callout model.
  13. dolphinUsefulnessScore (type: number(), default: nil)
    -
  14. 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
  15. mumDescriptivenessScore (type: number(), default: nil)
    - The predicted descriptiveness of the anchor using the MUM unified scoring model.
  16. mumUsefulnessScore (type: number(), default: nil)
    - The predicted usefulness of the anchor using the MUM unified scoring model.
  17. 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.
  18. saftDocument (type: GoogleApi.ContentWarehouse.V1.Model.NlpSaftDocument, default: nil)
    - A saft document generated from the anchor label.
  19. timedLabelFeatures (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionLabelFeatures), default: nil)
    - For annotating labels and their timing and context info. For example, this is used for anchor labels within a passage.
  20. timestamp (type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSetLabelSpanTimestamp), default: nil)
    -
  21. titleAnchorBabelMatchScore (type: number(), default: nil)
    - Babel similarity between the anchor and the video title.

Type

@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
}

Function

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

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