Study the effectiveness of genetic algorithm for documentary subject search
V. K. Ivanov, B. V. Palyukh

TL;DR
This paper evaluates the effectiveness of genetic algorithms in improving documentary subject search by enhancing query creation and document relevance, showing significant benefits in early-stage discovery and result diversity.
Contribution
It introduces an experimental approach applying genetic algorithms to optimize query formulation and document selection in internet searches.
Findings
Genetic algorithms improve relevance and diversity of search results.
Significant increase in unique and relevant documents found.
Enhanced early-stage discovery for skilled users.
Abstract
This article presents results of experimental studies the effectiveness of the genetic algorithm that was applied to effective queries creation and relevant document selection. Studies were carried out to the comparative analysis of the semantic relevance and quality ranking of the documents found on the Internet in various ways. Analysis of the results shows that the greatest effect of presented technology is achieved by finding new documents for skilled users in the initial stages of the study of the topic. Additionally, the number of unique and relevant results is significantly increased.
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Taxonomy
TopicsAdvanced Data Processing Techniques · Educational and Technological Research · Advanced Computational Techniques and Applications
