The project focuses on analyzing and comparing different algorithms used to develop recommendation systems using a comprehensive framework for testing and evaluation. It analyzes the practical aspects of recommendation systems associated with their algorithmic and ethical dimensions and aims to understand the ethical implications of recommendation systems when they are deployed in a business setting.