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What is Relevance Feedback in IR?
Last updated: August 21, 2025
IR Fundamentals

Relevance Feedback is a technique where user feedback (explicit or implicit) about search results is used to refine subsequent searches. The system uses signals like which results were clicked or marked relevant to adjust ranking or expand queries, improving retrieval over time.

Related Keywords
relevance feedbackuser feedbackquery refinementIR

What is Ansehn?

Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.

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