VideoContentSearchAnchorCommonFeatureSet

VideoLink Signal

GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSet

9
out of 10
Critical
SEO Impact
Contains anchor level features that apply to all anchor types. Next id: 22.

SEO Analysis

AI Generated

Related to anchor text analysis and link signal processing. Anchor text—the clickable text in hyperlinks—has been a fundamental ranking signal since Google's inception. This model processes how link text is analyzed, stored, and weighted, affecting how Google understands what a page is about based on how other sites link to it.

Actionable Insights for SEOs

  • Monitor for changes in rankings that may correlate with updates to this system
  • Consider how your content strategy aligns with what this signal evaluates
  • Audit your backlink profile for anchor text diversity and relevance
  • Ensure internal linking uses descriptive, relevant anchor text
  • Monitor for unnatural link patterns that could trigger penalties

Attributes

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anchorQbstDistancenumber(
Default: nil

QBST distance between the anchor and the top navboost query of the video if exists, or the video title otherwise.

asrAverageBabelSimilarityScorenumber(
Default: nil

Average of babel similarity between the anchor and all asr sentences.

asrMaximumBabelSimilarityScorenumber(
Default: nil

Maximum babel similarity between the anchor and the asr sentences.

bleurtFeaturesVideoContentSearchBleurtFeatures →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchBleurtFeatures.t

Features needed for Bleurt inference.

bleurtScorenumber(
Default: nil

The Bleurt inference score generated using the bleurt_features.

descartesScoreWithTitlenumber(
Default: nil

Descartes similarity score between video title and anchor label.

descriptionAverageBabelSimilarityScorenumber(
Default: nil

Average of babel similarity between the anchor and all description sentences.

descriptionMaximumBabelSimilarityScorenumber(
Default: nil

Maximum babel similarity between the anchor and the description sentences.

dolphinDescriptivenessScorenumber(
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

dolphinEnsembleScoreVideoContentSearchDolphinEnsembleScore →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinEnsembleScore.t

If the dolphin model is an ensemble model, this contains the scores associated to each individual ensemble model.

dolphinFeaturesVideoContentSearchDolphinFeatures →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinFeatures.t

The features used to generate the Dolphin score.

dolphinScorenumber(
Default: nil

The score generated by the Dolphin callout model.

dolphinUsefulnessScorenumber(
Default: nil
labelPhraseEmbeddinglist(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

mumDescriptivenessScorenumber(
Default: nil

The predicted descriptiveness of the anchor using the MUM unified scoring model.

mumUsefulnessScorenumber(
Default: nil

The predicted usefulness of the anchor using the MUM unified scoring model.

retentionScorenumber(
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.

saftDocumentNlpSaftDocument →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.NlpSaftDocument.t

A saft document generated from the anchor label.

timedLabelFeaturesVideoContentSearchCaptionLabelFeatures →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchCaptionLabelFeatures.t

For annotating labels and their timing and context info. For example, this is used for anchor labels within a passage.

timestampVideoContentSearchAnchorCommonFeatureSetLabelSpanTimestamp →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchAnchorCommonFeatureSetLabelSpanTimestamp.t
titleAnchorBabelMatchScorenumber(
Default: nil

Babel similarity between the anchor and the video title.