Resource scoring adjustment based on entity selections
Topics: E-E-A-T, Ranking, Scoring
The Patent addresses the challenges and mechanisms involved in digital information retrieval, particularly in the context of search engines.
The ranking process involves scoring resources using factors such as information retrieval scores, which measure the relevance of a query to the content of a resource, and authority scores, which assess the importance of a resource relative to others.
Moreover, the background highlights the use of additional factors, including user feedback, to adjust resource scores. Resources that frequently satisfy users’ informational needs for specific queries are selected more often, indicating their relevance and utility. This user selection data allows search engines to adjust search scores, giving a “boost” to resources that perform well in satisfying users’ needs. However, the document also notes the challenge of scoring resources with insufficient search and selection data, such as newly published resources, which may not have a history of user interactions to inform their relevance and ranking.
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