Only for SEO Research Suite member Performing targeted searching based on a user profile Topics: Microsoft, News and Discover, Personalization, Probably in use, Search Intent, User Signals
Only for SEO Research Suite member Contextualizing chat responses based on conversation history Topics: LLMO / GEO, Microsoft, Personalization, Probably in use, Search Intent, User Signals
Only for SEO Research Suite member Intelligent search query interpretation and response Topics: Chunk Relevance, LLM Readability, LLMO / GEO, Microsoft, Probably in use, Query Fan Out, Search Intent, Search Query Processing
Only for SEO Research Suite member Deep search using large language models Topics: AI Mode, E-E-A-T, LLMO / GEO, Microsoft, Probably in use, Query Fan Out, Ranking, Retrieval Augmented Generation (RAG), Scoring
Only for SEO Research Suite member Generative Retrieval for Conversational Question Answering Topics: Chunk Relevance, LLM Readability, LLMO / GEO, Microsoft, Passage based retrieval, Retrieval Augmented Generation (RAG)
Only for SEO Research Suite member System and Method for Database Schema Matching Topics: Data Mining, LLMO / GEO, Microsoft
Only for SEO Research Suite member Using large generative models with improved grounding to improve image context queries Topics: Image Search, Microsoft, Retrieval Augmented Generation (RAG)
Only for SEO Research Suite member Real time retrieval of content items for multi-category synthesis and personalized knowledge augmentation Topics: Knowledge Graph, LLMO / GEO, Microsoft, Retrieval Augmented Generation (RAG)
Only for SEO Research Suite member Systems and methods for providing reliable information for queries Topics: E-E-A-T, LLMO / GEO, Microsoft, Probably in use
Only for SEO Research Suite member Configuring a large language model to convert natural language queries to structured queries Topics: LLMO / GEO, Microsoft, Query Fan Out, Search Query Processing
