Information gain score: How it is calculated? Which factors are crucial?

This podcast discusses the article Information gain score: How it is calculated? Which factors are crucial? by Olaf Kopp. This episode explains information gain as a ranking factor of modern search engines. It is described the calculation of information gain using entropy and machine learning models, its application in various areas of search engines (ranking, filtering, personalization) and the connection with phrase-based indexing. The podcast emphasizes the importance of unique content for SEO and suggests methods to optimize the information gain for own content. Finally, implications for search engine optimization (SEO) are discussed, with a focus on providing new and relevant information to users. https://www.kopp-online-marketing.com/information-gain-how-it-is-calculated-which-factors-are-crucial