Algolia Recommend is a new API that enables developers to build unique, differentiated digital commerce experiences by providing product recommendations. It generates recommendations based on machine learning models such as Frequently Bought Together and Related Products, which rely on user interactions like conversion events and clicks. The algorithm aims to provide relevant recommendations while addressing the cold start problem by introducing a fallback strategy using item similarity based on their contents. Algolia Recommend allows developers to control and fine tune the recommendations returned based on business needs, using features such as facetFilters and contextualized recommendations. It also comes with a simulator for assessing quality before implementation in production, and is built on the same foundations as Algolia Search, providing a seamless experience across search, navigation, and recommendations.