An Optimization of Textual Digital Document Search

Abstract

The paper explores the use of Elasticsearch for real-time search optimization on large datasets, with a particular focus on scientific papers from ArXiv. It highlights advanced features of Elasticsearch such as fuzzy search, synonym processing, and scalability, which improve search efficiency and user experience. The paper also discusses the challenges in optimizing search performance and configurations, offering insights into effective strategies for managing big data. Special attention is paid to the analysis of search results depending on different index and query configurations. The research provides guidelines for the implementation of intelligent search systems in the domain of scientific publications.