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베스트셀러 도서 예측을 위한 머신러닝 알고리즘 성능평가
유지은(Ji-Eun Yu),조솔비(Sol-Bee Cho),유석종(Seok-Jong Yu) 한국정보기술학회 2023 한국정보기술학회논문지 Vol.21 No.7
Bestsellers are the most common way for readers to choose books, and for this reason, the prediction and selection of bestsellers is an important marketing strategy indicator in the publishing market. In this study, we propose a model that predicts whether or not to remain in the top 200 bestseller rankings and sales index sections using metadata from bestsellers, and compare and evaluate the performance of various machine learning algorithms. To this end, monthly bestseller data on the Yes24 site were crawled and collected, and appropriate preprocessing was performed for each data attribute. Various classification algorithms were used to predict whether to maintain the ranking, and as a result of finally evaluating the prediction performance of each algorithm, the accuracy of MLP, CatBoost, and random forest was high. This study is meaningful in that it comprehensively compared the performance performance of various classification algorithms for predicting whether to maintain the bestseller ranking. However, in models that rely on the number of reviews and ratings as limitations, it was difficult to overcome the cold start problem in new books that lacked data, and the need for follow-up supplementary research is proposed.
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박기범(Kibeom Park),양현채(Hyeonchae Yang),하리다(Reeda Ha),송충한(Choonghan Song),이다은,신희진,이수진,이진후,조솔비,한민아 과학기술정책연구원 2021 정책연구 Vol.- No.-
The importance of the role of post-doctoral researchers and the impact this period has on the overall researcher career cannot be overemphasized. Since the 2000s, the career path model has changed and the instability of the labor market has increased due to the increase in the number of PhDs worldwide. In many countries, slow job growth compared to the increase in post-doctoral researchers, prolonged period, unstable employment and uncertain future career problems are becoming increasingly serious. In this study, the size of post-doctoral researchers less than three years after obtaining a degree was estimated by in-depth analysis of the results of follow-up surveys for new doctors conducted in 2019 and 2020. The current status of domestic post-doctoral researchers such as, university type and individual characteristics were reviewed. Based on the results, we have proposed 4 policy directions; improvement of working conditions, broad career development, improvement of management system, and support for intersectoral and international movement.
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