RepositoryWebrefEntityScores

Repository WebrefEntity Understanding

GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefEntityScores

8
out of 10
High
SEO Impact
Keeps a set of scores about an entity. Next available tag: 20.

SEO Analysis

AI Generated

Part of Google's entity understanding system (WebRef). This system identifies and links entities—people, places, things, concepts—within web content to Google's Knowledge Graph. Entity recognition is fundamental to semantic search, helping Google understand content meaning beyond keywords and match it to relevant queries.

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
  • Build topical authority through comprehensive, entity-focused content
  • Implement structured data to help Google understand entities on your pages
  • Create content that clearly establishes entity relationships

Attributes

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alphaEntityIdfnumber(
Default: nil

This field is only for debugging and link weight experiments. It stores the entity's idf from the alpha model. Alpha idfs are used for link weight computations and available during model omega building via enricher_current_entity_idf_for_link_direction.

commonNgramProbnumber(
Default: nil

Probability that the entity is a common ngram (e.g. from dictionary).

entityIdfnumber(
Default: nil

The final (model omega) idf of an entity. Equals log2(1 / probability of the entity to appear in a document). This probability is currently estimated from its names (i.e. it is a sum of the name frequency weighted by P(entity | name)).

nameCapitalizationProbnumber(
Default: nil

The following field is deprecated and should eventually be removed. It uses data and rules that have not been refreshed for ~10y and KG has changed a lot in the meantime.