• Title/Summary/Keyword: Chung-Seo

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GAN-based Automated Generation of Web Page Metadata for Search Engine Optimization (검색엔진 최적화를 위한 GAN 기반 웹사이트 메타데이터 자동 생성)

  • An, Sojung;Lee, O-jun;Lee, Jung-Hyeon;Jung, Jason J.;Yong, Hwan-Sung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.79-82
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    • 2019

  • This study aims to design and implement automated SEO tools that has applied the artificial intelligence techniques for search engine optimization (SEO; Search Engine Optimization). Traditional Search Engine Optimization (SEO) on-page optimization show limitations that rely only on knowledge of webpage administrators. Thereby, this paper proposes the metadata generation system. It introduces three approaches for recommending metadata; i) Downloading the metadata which is the top of webpage ii) Generating terms which is high relevance by using bi-directional Long Short Term Memory (LSTM) based on attention; iii) Learning through the Generative Adversarial Network (GAN) to enhance overall performance. It is expected to be useful as an optimizing tool that can be evaluated and improve the online marketing processes.

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