Proactive Query and Content Suggestion with Generative Model Generated Question and Answer
Topics: Chunk Relevance, Entity based search, LLM Readability, LLMO / GEO, News and Discover, Personalization, Probably in use, Retrieval Augmented Generation (RAG), Semantic Search, User Signals
This Google patent describes a system that monitors web data to detect specific “change events” or updates related to various topics. When a change is detected, the system uses a generative AI model to automatically create relevant query suggestions and a written summary of the event. These suggestions and summaries are then proactively displayed to the user—often personalized to their interests—to help them stay informed without needing to initiate a search themselves.
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