한국소프트웨어감정평가학회 논문지 (Journal of Software Assessment and Valuation)

  • 제17권1호
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  • Pages.59-66
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  • 2021
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  • 2092-8114(pISSN)
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  • 2733-4384(eISSN)
한국소프트웨어감정평가학회 (Korea Software Assessment and Valuation Society)
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A Study on Deep Learning Model-based Object Classification for Big Data Environment

  • 투고 : 2021.06.02
  • 심사 : 2021.06.20
  • 발행 : 2021.06.30
⟨ 이전 논문 다음 논문 ⟩

초록

Recently, conceptual information model is changing fast, and these changes are coming about as a result of individual tendency, social cultural, new circumstances and societal shifts within big data environment. Despite the data is growing more and more, now is the time to commit ourselves to the development of renewable, invaluable information of social/live commerce. Because we have problems with various insoluble data, we propose about deep learning prediction model-based object classification in social commerce of big data environment. Accordingly, it is an increased need of social commerce platform capable of handling high volumes of multiple items by users. Consequently, responding to rapid changes in users is a very significant by deep learning. Namely, promptly meet the needs of the times, and a widespread growth in big data environment with the goal of realizing in this paper.

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참고문헌

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