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RESEARCH OF THE ORGANIC TRAFFIC OPTIMIZATION SYSTEM FOR E-COMMERCE PLATFORMS USING LARGE LANGUAGE MODELS

The paper explores the use of large language models (LLM) to optimize SEO processes to increase organic traffic for e-commerce platforms. The possibilities of scalable adaptation of large content volumes to the requirements of search algorithms using tools built on the basis of LLM are considered. A comparative analysis of the effectiveness of new automated SEO optimization methods and traditional manual tuning approaches is conducted using the example of an e-commerce platform with a wide range of products and a high level of traffic.

Qualiological Aspects of the E-Book: Quality of Content and Services in the Digital Environment

The article explores the qualiology of the e­book as a multidimensional phenomenon that combines technological, communicative, and cultural aspects of digital reading. In the context of the digital transformation of media, the e­book becomes not merely a digitized version of the printed publication but an independent communicative medium with its own logic of production, distribution, and perception.

Analytical Review of Data Lakes and Perspectives of Application in the Field of Education

An analytical review of the development of Data Lakes and its application in various industries, as part of Big data concept solutions, was conducted. The available standard architectural solutions for the Data Lake organization are considered. Also, specialized areas that require different or additional aspects to solve the tasks, depending on the field of Data Lake use, are taken into account. For the proper organization of Data Lake, various data processing tools are used, including distributed data storage systems, semantic networks, and especially metadata.