In the modern digital environment, web analytics and predictive modeling serve as essential tools for optimizing user interaction on Over-the-Top (OTT) platforms. Modern web services increasingly require robust predictive models that not only describe past actions but also forecast future behavior, enabling the delivery of highly personalized content.
The purpose of the work is a multi-criteria evaluation of the websites of libraries of technical institutions of higher education of Ukraine based on SEO analysis and expert evaluation. The use of such a concept will make it possible to identify the information needs of users and offer recommendations for increasing the efficiency of the functioning of library web resources. For this purpose, the study conducted an expert assessment of the quality of the selected resources, their structure and content.