The accuracy of product or content recommendations depends on a few important variables. You need data—lots and lots of data. And you need an AI-powered recommendation engine capable of using that data as part of a hybrid filtering method. A hybrid filtering method combines persona-based personalization (collaborative filtering) and learning based on user behavior (content-based filtering), replacing the need for manually hard-coded rules. Again, all of this filtering is based on the engine’s ability to tap into and analyze a wide variety of data sets all at once. Read more best practices for improving the accuracy of recommendations.