During the training phase, the algorithm’s parameters are adjusted systematically through a trial and error process to achieve optimal results. This process can be time-consuming, often spanning several hours or even days in certain cases. However, once the algorithm has been trained, the recommendation process becomes remarkably fast, involving a series of straightforward mathematical operations.