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OCR 및 프롬프트 엔지니어링 기반 SEO 최적화 방안 연구: e커머스 상품 상세페이지 적용 사례
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이현구 | - |
| dc.contributor.author | 양성병 | - |
| dc.contributor.author | 윤상혁 | - |
| dc.date.accessioned | 2025-07-15T07:00:12Z | - |
| dc.date.available | 2025-07-15T07:00:12Z | - |
| dc.date.issued | 2025-06 | - |
| dc.identifier.issn | 1229-8476 | - |
| dc.identifier.issn | 2733-8770 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/58709 | - |
| dc.description.abstract | Purpose This study addresses the difficulties faced by small business owners and solo entrepreneurs in implementing effective SEO strategies due to limited technical knowledge and resources. It proposes a practical method using OCR and prompt engineering to enhance search visibility in image-heavy e-commerce product pages. Design/methodology/approach The proposed method extracts text from product images using Optical Character Recognition (OCR) and restructures it into SEO-friendly HTML through ChatGPT-based prompt engineering. The method was applied to a real e-commerce platform and compared with conventional image-only product pages in terms of search engine exposure and user traffic. Findings The results show that the framework significantly improves online visibility and user inflow. This approach provides a low-cost, accessible SEO solution for small sellers, contributing to their competitiveness in the expanding digital marketplace. | - |
| dc.format.extent | 17 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국정보시스템학회 | - |
| dc.title | OCR 및 프롬프트 엔지니어링 기반 SEO 최적화 방안 연구: e커머스 상품 상세페이지 적용 사례 | - |
| dc.title.alternative | Enhancing SEO through OCR and Prompt Engineering Techniques: A Case of E-commerce Product Detail Pages | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.5859/KAIS.2025.34.2.27 | - |
| dc.identifier.bibliographicCitation | 정보시스템연구, v.34, no.2, pp 27 - 43 | - |
| dc.citation.title | 정보시스템연구 | - |
| dc.citation.volume | 34 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 27 | - |
| dc.citation.endPage | 43 | - |
| dc.identifier.kciid | ART003221890 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Optical Character Recognition (OCR) | - |
| dc.subject.keywordAuthor | Prompt Engineering | - |
| dc.subject.keywordAuthor | Search Engine Optimization (SEO) | - |
| dc.subject.keywordAuthor | Product Detail Page | - |
| dc.subject.keywordAuthor | E-commerce | - |
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Related Researcher
- Yoon, Sang Hyeak
- Dongguk Business School (Department of Management Information System)