User-context-based search engine
Topics: AI (Deep Learning), Document Classification, E-E-A-T, Semantic Search
The Google patent describes a user-context-based search engine that determines contexts of information to improve search results. It uses a method of dividing information into domains, creating domain lists of unique terms, and calculating macro and micro contexts (also known as micro semantics or macro semantics) for queries and information. This allows matching queries to relevant information based on contextual alignment rather than just keyword matching. The system can build a profile of a user’s interests over time to further personalize and improve search results.