A "recommendation engine" is a software that makes personalized suggestions for products, services or content to users based on their preferences and previous behavior. Algorithms are used to analyze data and make recommendations that may match the user's interests.
Examples of commercial applications include personalized recommendations in online shops, streaming services or social networks. In industry, such recommendation systems can be used to select materials, improve maintenance processes or personalize production processes. They use historical data, user behavior or machine parameters to provide precise suggestions for increasing efficiency and reducing costs.