Learning-to-Rank (LTR): The most important ranking concept for modern search engines
This episode deals with Learning-to-rank. The perhaps most important ranking concept for modern search engines. Learning to rank is a central technology for modern search engines and information retrieval systems. It uses machine learning to optimize the order of search results based on a variety of factors, including content relevance and user signals. For SEO experts, this means an ongoing need to create high-quality, user-centric and technically optimized content and to consider the importance of user engagement. Understanding how LTR works can help to develop more effective SEO strategies.