Розробка методу колоборативної фільтрації для роботи з цільовою бізнес-аудиторією, та його імплементація в інформаційних системах

Abstract

In the modern world, the amount of information in computer networks increases exponentially, photographs, text, server logs, etc. any individual enterprise, each action is recorded in the database. This information can and should be processed. For fast and high-quality processing, personalized filtering systems are created. The most common, by far, type of these systems is recommendation systems. Recommender systems are technologies that help to formulate offers for users regarding their subject areas of interest. The implementation of such recommendation systems in business processes is especially interesting.