Learning to Rank is a machine learning approach used to train ranking models for search systems. These models use features like text similarity, authority signals, and query-document relevance to order results in a way that best matches user expectations. It includes pointwise, pairwise, and listwise learning frameworks, evaluated using metrics such as NDCG, mean average precision, and reciprocal rank.
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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