RepositoryWebrefPerDocRelevanceRatings
Repository WebrefEntity UnderstandingGoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefPerDocRelevanceRatings
SEO Analysis
AI GeneratedPart 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
- 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
5docFpstringnilFull type: String.t- In topicality ratings this is Fingerprint2011() of the normalized cdoc. - In query-mention ratings this is a hash of the QueryJoin. - In doc-content-mention ratings this is a hash of a QueryJoin in which the mention rating task has been embedded. -
entityNameRatingRepositoryWebrefEntityNameRatings →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefEntityNameRatings.tmentionRatingRepositoryWebrefMentionRatings →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefMentionRatings.ttaskLevelRatingRepositoryWebrefPerDocRelevanceRating →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefPerDocRelevanceRating.turlstringnilFull type: String.t- In topicality ratings this is the url of the document. - In query-mention ratings this is the query in format "en:US:query text". - In doc-content-mention ratings this is %x:%s where %x is the hex doc_fp of the cdoc (TODO(b/139799592) or sometimes the doc_fp below), and %s is the text of the eval range. - In entity-name ratings this is the MID of the entity.