PERSONALIZATION OF NEWS CONTENT USING AI: ARCHITECTURE AND EFFICIENCY OF NEURAL NETWORK SYSTEMS

<p style="margin-left:0cm; margin-right:0cm; text-align:justify"><em>The rapid growth of digital information has made news content personalization a critical tool for addressing information overload and enhancing user engagement. This study investigates the architecture and efficiency of neural network systems for pers

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Publication Details

Journal
European Journal of Technical and Natural Sciences
Published
2025-10-18
DOI
https://doi.org/10.29013/ejtns-25-4.5-18-29
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

PERSONALIZATION OF NEWS CONTENT USING AI: ARCHITECTURE AND EFFICIENCY OF NEURAL NETWORK SYSTEMS

Shalamov Igor Stanislavovich
European Journal of Technical and Natural Sciences
Neural Networks and Applications
article

PERSONALIZATION OF NEWS CONTENT USING AI: ARCHITECTURE AND EFFICIENCY OF NEURAL NETWORK SYSTEMS

Shalamov Igor Stanislavovich
article en

Abstract

<p style="margin-left:0cm; margin-right:0cm; text-align:justify"><em>The rapid growth of digital information has made news content personalization a critical tool for addressing information overload and enhancing user engagement. This study investigates the architecture and efficiency of neural network systems for pers

European Journal of Technical and Natural Sciences
Openalex Percentile: Top 84%
Neural Networks and Applications
DOIOpen Access PDFOpenAlex
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PERSONALIZATION OF NEWS CONTENT USING AI: ARCHITECTURE AND EFFICIENCY OF NEURAL NETWORK SYSTEMS — Shalamov Igor Stanislavovich · European Journal of Technical and Natural Sciences (2025) | TGRS Research Map | TGRS