Topic: semantic matching
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Google's Jeff Dean: AI Search Still Needs Classic Ranking
Google's AI search is built on its classic infrastructure, using traditional crawling, indexing, and ranking to first filter web documents before AI synthesizes answers. The system employs a staged "retrieve, rerank, and synthesize" pipeline, where content must pass through established ranking th...
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Microsoft AI Search & Shopping Ads: New PPC Strategies
AI is fundamentally changing search monetization, with Google testing Shopping ads in AI Overviews and Microsoft releasing a practical playbook for marketers, shifting focus from keywords to clean data and structured information. Advertisers must adapt to a compressed user journey in AI conversat...
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Secure Your AI: New Risks in Faster LLM Routing
NetMCP introduces network-aware routing to large language models, enabling them to select tools based on both relevance and real-time server performance like latency and stability. The platform uses the SONAR algorithm to dynamically score servers by semantic relevance and network conditions, imp...
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