Journal of Software Assessment and Valuation (한국소프트웨어감정평가학회 논문지)

Korea Software Assessment and Valuation Society (한국소프트웨어감정평가학회)
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A Study on Deep Learning Model-based Object Classification for Big Data Environment

  • Received : 2021.06.02
  • Accepted : 2021.06.20
  • Published : 2021.06.30
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Abstract

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.

Keywords

References

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