ResearchScamGenericFeatureVectorCrowding

Research SCAMSearch Infrastructure

GoogleApi.ContentWarehouse.V1.Model.ResearchScamGenericFeatureVectorCrowding

5
out of 10
Medium
SEO Impact
This subproto contains configuration for crowding. Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

SEO Analysis

AI Generated

Core search serving infrastructure. While not a direct ranking signal, these systems process and serve search results. This model (Research Scam Generic Feature Vector Crowding) contains 1 attributes that define its data structure. Key functionality includes: The value of the crowding attribute for this document. The maximum number of neighbors to return per crowding attribute value (per_crowding_attribute_...

Actionable Insights for SEOs

  • Understanding this model helps SEOs grasp Google's internal data architecture
  • Consider how this system might interact with other ranking signals

Attributes

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crowdingAttributestring
Default: nilFull type: String.t

The value of the crowding attribute for this document. The maximum number of neighbors to return per crowding attribute value (per_crowding_attribute_num_neighbors) is configured per-query. This field is ignored if per_crowding_attribute_num_neighbors is larger than the total number of neighbors to return for a given query.