TAʼLIM PLATFORMASI UCHUN METAQIDIRUV TIZIMINI ISHLAB CHIQISHDA ELASTICSEARCH TEXNOLOGIYASIDAN FOYDALANISH

This article discusses the development and implementation of a metasearch system for educational platforms using the ElasticSearch technology. The proposed system allows users to perform searches across multiple sources and aggregate the results in a unified interface. Unlike traditional search engines, metasearch systems do not index web resources independently but rather collect results from various search services. ElasticSearch plays a key role in enhancing the speed, accuracy, and contextual relevance of search within the internal content of the platform. The article examines the system’s architecture, including the use of inverted indexing, analyzers, and tokenizers, as well as the integration of Python and Vue.js for backend and frontend development. The findings demonstrate that ElasticSearch-based metasearch significantly improves content retrieval, user experience, and resource efficiency in educational contexts. The study highlights the potential of this approach in optimizing access to educational materials and supporting personalized learning environments.