Looking at how to build a recommendation system involves gathering datasets, selecting algorithms, training models, and integrating real-time inference. Popular techniques include collaborative filtering, content-based filtering, and hybrid models. For example, eCommerce platforms use recommendation engines to boost conversions by 35% through personalized product suggestions. Key...