View Source GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSet (google_api_content_warehouse v0.3.0)
Contains anchor level features that apply to all anchor types. Next id: 22.
Attributes
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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
Unwrap a decoded JSON object into its complex fields.