Оцінювання впливу назв продуктів, створених штучним інтелектом, на ефективність електронної комерції
This paper studies the impact of Large Language Model (LLM) technology on the e-commerce industry. This work conducts a detailed review of the current implementation level of LLM technologies in the e-commerce industry. Next, it analyzes the approaches to detecting AI-generated text and determines t...
Збережено в:
| Дата: | 2025 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | Англійська |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2025
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| Теми: | |
| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/330141 |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | This paper studies the impact of Large Language Model (LLM) technology on the e-commerce industry. This work conducts a detailed review of the current implementation level of LLM technologies in the e-commerce industry. Next, it analyzes the approaches to detecting AI-generated text and determines the limitations of their application. The proposed methodology defines the impact of LLM models on the e-commerce industry based on a comparative analysis between indicators of machine-generated texts and e-commerce product metrics. Applying this methodology to real data, one of the most relevant data collected after the release of ChatGPT, the results of statistical analyses show a positive correlation between the studied indicators. It is proved that this dependence is dynamic and changes over time. The obtained implicit indicators measure the influence of LLM technologies on the e-commerce domain. This influence is expected to grow, requiring further research. |
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