Search ranking based on natural language query patterns
Topics: Entity based search, Knowledge Graph, Ranking, Search Query Processing, SERP Serving (Tangram/Glue), SERP-Features
The Google patent focuses on methods and systems for determining whether to provide factual answers to user queries based on the likelihood of those queries being fact-seeking. This determination is achieved through analyzing patterns in query data, specifically by comparing the frequency of natural language query patterns to overall query counts. The resulting likelihood is then used to rank search results and potentially present structured factual answers prominently on search result pages.
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