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도서 정보 및 도서 리뷰 데이터를 활용한 독서 수준 기반의 추천 모형 개발
최인수,박수견,조영환,이채연,김아원,김우창 대한산업공학회 2020 대한산업공학회지 Vol.46 No.3
This study presented a book recommendation model based on reading level which can be applied to the publishing industry. Based on the converged technologies of IT industry and AI industry, book level was calculated based on text difficulty analysis, and the reviews were analyzed using NLP techniques and artificial neural networks based on clusters based on customers’ characteristics. The derived book level was set as a pre-score and the expected level of book experience of target customers derived through a fully connected neural network was set as a post-score. From those scores, we derived a model of book recommendation as a rank considering customers’ reading level. From a survey conducted to verify this mdoel, the model had a statistical significance of correlation with survey results. In addition, this study presented a reading roadmap and business model considering reading level as a way to apply this model developed in this study.
금융 분야 내에서의 대체투자와 Robo-Advisor 및 금융 자산 운용 서비스에 대한 조사 연구
최인수,김수민,박수견,박민영,양희진,조영환,최현수,김우창 한국산업경영시스템학회 2022 한국산업경영시스템학회 학술대회 Vol.2022 No.추계
Alternative investments and Financial technology (FinTech) businesses’ recent entry and quick expansion of new financial services have propelled banking institutions into operational innovation to secure sustainable competitive advantage. Recent increases in the number of academic articles devoted to the strategic facets of asset management were stimulated by significant changes in such a competitive environment. Organizations begin to understand that a strategic approach to asset management becomes a source of long-term survival in an unstable environment and sustained competitive advantages. This study reviewed trendy financial issues: alternative investments, Robo-advisor-based asset management, and related service research in the finance and financial engineering field from the perspective of the aforementioned financial service environment.
엔트로피 최대손실예상액과 Gini 평균차이를 활용한 금융 기업 주가 수익률의 리스크의 네트워크 기반 의존성 및 인과성 분석 방법론 개발
최인수(Insu Choi),남달리(Dalli Nam),고우성(Woosung Koh),김수민(Sumin Kim),박수견(Sookyun Park),박민영(Minyoung Park),양희진(Heejin Yang),이도영(Doyoung Lee),임소영(Soyeong Lim),최현수(Hyunsu Choi),김우창(Woo Chang Kim) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.12