ERGONOMIC ANALYSIS OF A RECOMMENDATION SYSTEM

Goryachkin Boris Sergeevich, Nischuk Roman Sergeevich

The complexity of choosing books from a vast amount of information poses a serious problem for users. The need for an ergonomic analysis of recommendation systems is due to the unsatisfactory user experience in finding the most suitable reading options. Ineffective interaction with the system leads to time loss, insufficient information, and dissatisfaction with the service usage. The process of selecting books using recommendation systems involves analyzing user data and comparing it with a large amount of book information to choose the most suitable options. This significantly saves user time, optimizes the selection process, and increases satisfaction with the service usage. Through the example of a recommendation system for book selection, one can see how a balance between technical complexity and users can be achieved through thoughtful design, intuitive controls, and personalized recommendations.

Keywords:Recommendation system, ergonomics, Django, Big Data