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반사실적 데이터 증강에 기반한 인과추천모델: CausRec사례
송희석 한국데이터전략학회 2023 Journal of information technology applications & m Vol.30 No.4
A single-learner model which integrates the user's positive and negative perceptions is proposed by augmenting counterfactual data to the interaction data between users and items, which are mainly used in collaborative filtering in this study. The proposed CausRec showed superior performance compared to the existing NCF model in terms of F1 value and AUC in experiments using three published datasets: MovieLens 100K, Amazon Gift Card, and Amazon Magazine. Compared to the existing NCF model, the F1 and AUC values of CausRec showed 1.2% and 2.6% performance improvement in MovieLens 100K data, and 2.2% and 10% improvement in Amazon Gift Card data, respectively. In particular, in experiments using Amazon Magazine data, F1 and AUC values were improved by 11.7% and 21.9%, respectively, showing a significant performance improvement effect. The performance of CausRec is improved because both positive and negative perceptions of the item were reflected in the recommendation at the same time. It is judged that the proposed method was able to improve the performance of the collaborative filtering because it can simultaneously alleviate the sparsity and imbalance problems of the interaction data.
Piaget 의 조작형식에 따른 고등학교 지구과학 교과서의 분석
송희석 한국지구과학회 1988 韓國地球科學會誌 Vol.9 No.2
The aim of this study is to provide useful advices and basic data for the future Earth Science Education by analyzing the High School Earth Science textbooks. The analysis included 1) whether the contents of the textbook are properly selected suiting with Piaget's Intellectual development stage 2) whether the basic concept and successive concept are properly selected and organized. This study arrived at the following conclusions. 1) The greater part of highschool students are not able to think the formal operation when they are in need of thinking power in formal operation in the study of 48.696 of curriculum. 2) The contents of Earth Science textbook should be developed naturally from the concrete operation stage to the formal operation stage, but the methods of approaching curriculum are scattered through out the textbook. 3) There are many lessons that can't be practiced in laboratory. The textbook should be developed naturally from the simple structures to the complicated ones. Also it is necessary for teachers to conceive those problems and to be able to help the students approach the curriculum easily.
소셜 네트워크 사용자간 신뢰수준 예측 모형: 트위터 적용사례
송희석 에스케이텔레콤 (주) 2013 Telecommunications Review Vol.23 No.1
소셜네트워크에서 사용자간 신뢰는 해당 소셜네트워크에서 제공하는 사회적 자본의 가치수준을 결정하는 중요한 요인이다. 본 연구는 소셜네트워크에서 정보제공자에 대한 신뢰수준을 예측할 수 있는 사용자간 신뢰수준 예측 모형을 개발하는 것을 목표로 한다. 사용자간 신뢰수준 예측모형을 구성하기 위한 방법으로 신뢰에 대한 다양한 사회과학의 연구모형을 조사하여 신뢰에 영향을 미치는 요인을 추출하고 이들을 사용자간 상호작용 행위기록으로부터 측정하여 신뢰를 예측하는 방법을 제안하고 있다. 또한 트위터 신뢰링크 데이터를 수집하여 트위터 사용자간 신뢰를 예측하는 데 본 연구에서 제안한 방법을 적용하고 그 성능을 평가하였다. 본 연구에서 제안한 방법으로 예측된 신뢰수준은 신뢰자와 피신뢰자간 상호작용이 진행되면서 수정이 되는 동적인 특성을 가진다.
송희석 한국지구과학회 1985 한국지구과학회지 Vol.6 No.2
This study aims at giving effective suggestions for future Earth Science Education by making a theoretical teaching-learning model for inquiry science. The main subject of this study is to establish the learning system, educational goal and guide theory of Earth Science Education. Through above mentioned, following suggestions are presented: (1) The experiments and observations should be more emphasized than lectures in Earth Science Education. (2) It is necessary to retrain Earth Science teachers in order to improve their ability to guide the student's experiments. (3) Well designed laboratory equipments and kids of good quality and resonable price should be supplied. (4) Every teacher should work on positive line, extending the range of information through participating in the Korean Earth Science Education society, Earth Science meetings and various science education seminars.
송희석 한국데이터전략학회 2019 Journal of information technology applications & m Vol.26 No.6
Many researchers have been focused on designing beauty product recommendation system for a long time because of increased need of customers for personalized and customized recommendation in beauty product domain. In addition, as the application of the deep neural network technique becomes active recently, various collaborative filtering techniques based on the deep neural network have been introduced. In this context, this study proposes a deep neural network model suitable for beauty product recommendation by applying Neural Collaborative Filtering and Generalized Matrix Factorization (NCF + GMF) to beauty product recommendation. This study also provides an implementation of web API system to commercialize the proposed recommendation model. The overall performance of the NCF + GMF model was the best when the beauty product recommendation problem was defined as the estimation rating score problem and the binary classification problem. The NCF + GMF model showed also high performance in the top N recommendation.
송희석 한국데이터전략학회 2018 Journal of information technology applications & m Vol.25 No.2
Despite of increasing studies for product recommendation, the recommendation of product repurchase timing has not yet been studied actively. This study aims to propose deep neural network models usingsimple purchase history data to predict the repurchase timing of each customer and compare performances of the models from the perspective of prediction quality, including expected ROI of promotion, variability of precision and recall, and diversity of target selection for promotion. As an experiment result, a recurrent neural network (RNN) model showed higher promotion ROI and the smaller variability compared to MLP and other models. The proposed model can be used to develop a CRM system that can offer SMS or app-based promotionsto the customer at the right time. This model can also be used to increase sales for product repurchase businesses by balancing the level of ordersas well as inducing repurchases by customers.
유비쿼터스 비즈니스 모델 저장소를 이용한 경쟁 전략 수립 방법
송희석,한관희,여재현,박광만,이광희 대한산업공학회 2008 산업공학 Vol.21 No.3
It is important to choose and develop right business model in the process of implementing the ubiquitous service concept. In particular, it is also required to build a method which can assist in establishing a business model in a competitive perspective to differentiate business strategy. However, we could not find the existing studies which tried to develop business model including methods on how to differentiate business strategy in a competitive environment. In this study, we propose an ontology for repository of ubiquitous business model and address on how to apply the proposed business model repository to real ubiquitous industry. We also built a repository of unlicensed wireless device industry to check the applicability of proposed ubiquitous business model ontology and to show the various examples. We expect that building the business model repository contributes to reduce the redundancy and inefficiency for industry as well as to increase likelihood of business success for an individual company.
시스템다이내믹스 기반의 다세대 확산 수요 예측 : 이동통신 가입자 수요 예측 적용사례
송희석,김재경,Song, Hee Seok,kim, Jae Kyung 한국데이터전략학회 2017 Journal of information technology applications & m Vol.24 No.2
Forecasting long-term mobile service demand is inevitable to establish an effective frequency management policy despite the lack of reliability of forecast results. The statistical forecasting method has limitations in analyzing how the forecasting result changes when the scenario for various drivers such as consumer usage pattern or market structure for mobile communication service is changed. In this study, we propose a dynamic model of the mobile communication service market using system dynamics technique and forecast the future demand for long-term mobile communication subscriber based on the dynamic model, and also experiment on the change pattern of subscriber demand under various scenarios.