At nexocode, we take a data-driven approach to developing recommendation engines. We start by understanding your needs and goals and then collecting and preparing the necessary data. Once the data is ready, we use a variety of machine learning and deep learning techniques to train the recommendation engine. We then evaluate the performance of the engine and iteratively improve it until it meets your expectations. Finally, we deploy the engine and integrate it with your existing systems.