• 한국IT서비스학회지
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• 제20권3호
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• pp.57-73
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• 2021

Recently, online job websites have been activated as unemployment problems have emerged as social problems and demand for job openings has increased. However, while the online job platform market is growing, users have difficulty choosing their jobs. When users apply for a job on online job websites, they check various information such as job contents and recruitment conditions to understand the details of the job. When users choose a job, they focus on various details related to the job rather than simply viewing and supporting the job title. However, existing online job websites usually recommend jobs using only quantitative preference information such as ratings. However, if recommendation services are provided using only quantitative information, the recommendation performance is constantly deteriorating. Therefore, job recommendation services should provide personalized services using various information about the job. This study proposes a recommended methodology that improves recommendation performance by elaborating on qualitative preference information, such as details about the job. To this end, this study performs a topic modeling analysis on the job content of the user profile. Also, we apply LDA techniques to explore topics from job content and extract qualitative preferences. Experiments show that the proposed recommendation methodology has better recommendation performance compared to the traditional recommendation methodology.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.141-151
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• 2020

The job mismatch between job seekers and SMEs is becoming more and more intensifying with the serious difficulties in youth employment. In this study, a bi-directional content-based metric learning model is proposed to recommend suitable jobs for job seekers and suitable job seekers for SMEs, respectively. The proposed model not only enables bi-directional recommendation, but also enables HR matching without relearning for new job seekers and new job offers. As a result of the experiment, the proposed model showed superior performance in terms of precision, recall, and f1 than the existing collaborative filtering model named NCF+GMF. The proposed model is also confirmed that it is an evolutionary model that improves performance as training data increases.

• 한국콘텐츠학회논문지
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• 제21권7호
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• pp.134-143
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• 2021

최근 모바일 기기 및 소셜 미디어 서비스의 발전으로 인해, 콘텐츠 추천 기법에 대한 연구들이 진행되고 있다. 그러한 콘텐츠 추천 기법들은 일반적으로 취업 큐레이션 시스템에 적용된다. 대부분의 기존 대학 교육 콘텐츠 추천 기법은 해당 학생의 학교, 전공 등을 바탕으로 가장 많이 수강한 과목만을 추천하기 때문에 각 학생이 원하는 취업의 형태나 분야 등이 고려되지 않는다. 본 논문에서는 취업 큐레이션 시스템 기반의 개인 맞춤형 교육 콘텐츠 추천 기법을 제안한다. 제안하는 기법은 사용자가 취업 큐레이션 시스템에서 활동한 내용을 바탕으로 사용자가 원하는 취업 형태와 취업 분야를 분석하여 관심 기업을 도출한다. 제안하는 기법은 도출된 관심 기업을 바탕으로 관심 기업에 취업한 졸업생들의 신뢰도와 유사도를 측정하여 참고할만한 졸업생을 선정하고 협업 필터링을 통해 사용자에게 맞춤형 교과목, 비교과목, 자율 활동 목록을 추천한다.

• 패션비즈니스
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• 제15권1호
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• pp.129-144
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• 2011

The purpose of this study was to investigate the influence of purchasing behavior on brand attitude, shopping satisfaction, and recommendation of herbal cosmetics consumer. Through judgment sampling method, selected 304 survey questionnaires were used for final analysis from herbal cosmetics consumer. With the collected data, t-test, one-way ANOVA, and multiple regression analysis were performed by SPSS 14.0. The results of the analysis were summarized as follows. First, level of education no significant difference on purchasing behavior, but age, marital status, average income, and job type showed significant difference on purchasing behavior. Second, level of education and average income no significant difference on brand attitude, shopping satisfaction, and recommendation, but age, marital status, and job type showed significant difference on brand attitude, shopping satisfaction, and recommendation. Third, the reasonable purchase, conformity purchase, and conspicuous purchase impacts positively(+) influence, but impulse purchase impacts negatively(+) influence on brand attitude. Fourth, the rational purchase and conspicuous purchase impacts positively(+) influence on shopping satisfaction. Fifth, the conformity purchase and conspicuous purchase impacts positively(+) influence on recommendation.

• Journal of Information Processing Systems
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• 제8권4호
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• pp.721-738
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• 2012

The Internet has become an increasingly important source for finding the right employees, so more and more companies post their job openings on the Web. The large amount and dynamic nature of career recruiting information causes information overload problems for job seekers. To assist Internet users in searching for the right job, a range of research and commercial systems were developed over the past 10 years. Surprisingly, the majority of existing job search systems support just one, rarely two ways of information access. In contrast, our work focused on exploring a value of comprehensive access to job information in a single system (i.e., a system which supports multiple ways). We designed Proactive, a recommendation system providing comprehensive and personalized information access. To assist the varied needs of users, Proactive has four information retrieval methods - a navigable list of jobs, keyword-based search, implicit preference-based recommendations, and explicit preference-based recommendations. This paper introduces the Proactive and reports the results of a study focusing on the experimental evaluation of these methods. The goal of the study was to assess whether all of the methods are necessary for users to find relevant jobs and to what extent different methods can meet different users' information requirements.

• 한국프랜차이즈경영연구
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• 제10권4호
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• pp.43-52
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• 2019

Purpose: As a research on the effects of the characteristics of franchise educational institution and contents on the educational transition, commitment, and recommendation intention, this study aimed to suggest the basic data that could be used for the performance of educational training of franchise headquarters, and also to suggest an empirical research helpful for the development of actual educational system and the operation of curriculum for franchise educational institutions. Research design, data, and methodology: This study selected the trainees who recently completed the training in a franchise educational institution as the samples. The survey was conducted for 20 days from October 1st to October 20th 2018, targeting total 230 people, and total 207 questionnaires were collected (Missing value 23). To verify the validity of the measurement tool used for this study, this study reviewed the factor loading of each factor by conducting the confirmatory factor analysis(CFA), and then verified the average variance extracted(AVE) and the composite construct reliability(CCR). Lastly, the structural equation model(SEM) was verified based on the research hypotheses and research model. The SPSS Win Ver. 20.0 & AMOS 20.0 were used for every analysis of this study. Results: The results of this study could be summarized as follows. First, the reputation and interaction of the characteristics of franchise educational institution had significantly positive(+) effects on the educational transition. Second, all the sub - variables of educational contents such as job relevance, education method, and instructors' professionalism had positive(+) effects on the educational transition while the educational transition had positive effects on the organizational commitment, career commitment, and job commitment. Lastly, the organizational commitment and job commitment had positive(+) effects on the recommendation intention. Thus, the trainees with higher organizational commitment and job commitment in a franchise educational institution, showed higher intention to recommend the educational institution to others. Conclusions: The results of this study imply that the franchise educational institutions could increase the actual performance of education such as educational transition, commitment, and recommendation intention by increasing interactions within educational institutions and also designing effective educational contents, so that the trainees could highly perceive the educational transition of education.

• 한국콘텐츠학회논문지
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• 제22권8호
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• pp.297-306
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• 2022

본 연구는 커피관련 기업에 취업을 희망하는 교육생들이 인식하는 커피교육서비스 품질이 교육만족도와 추천의도를 통해 취업준비행동에 미치는 영향을 검증하는 것이다. 연구목적 달성을 위해 본 연구에서는 이론적 고찰을 바탕으로 도출한 5개의 연구가설을 토대로 하여 연구모형을 설정하였다. 본 연구는 다음과 같은 연구 결과를 보여준다. 첫째, 커피교육서비스 품질은 교육만족도에 정(+)의 유의한 영향을 미치는 것으로 나타났다. 둘째, 교육만족도는 추천의도에 정(+)의 유의한 영향을 미치는 것으로 나타났다. 셋째, 교육만족도는 취업준비행동에 정(+)의 유의한 영향을 미치는 것으로 나타났다. 넷째, 교육만족도는 커피교육서비스 품질이 추천의도에 미치는 영향에 대한 간접효과가 있는 것으로 나타났다. 다섯째, 교육만족도는 커피교육서비스 품질이 취업 추천의도에 미치는 영향에 대한 간접효과가 있는 것으로 나타났다. 이러한 연구결과는, 커피교육서비스 품질, 만족도 연구에 폭넓고 다양한 교육생들의 특성을 알아보고 향후 교육서비스의 방향성 및 커피교육 기관의 경쟁력 제고에 도움이 되는 실무적 제언을 제공한다.

• Journal of Information Technology Applications and Management
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• 제28권4호
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• pp.33-43
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• 2021

While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

• 한국조리학회지
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• 제22권8호
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• pp.157-171
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• 2016

본 연구는 부산지역의 조리 제과제빵전공 대학생들의 교육환경이 만족도, 추천의도에 미치는 영향에서 전공 파트타임 경험이 조절효과를 하는지 규명해 대학관계자에서 전공자들의 교육환경에 대한 인식을 이해하고, 유용한 자료를 제공하기 위한 것이다. 조리 제과제빵관련 전공자의 교육환경이 만족도와 추천의도의 연구목적을 달성하기 위하여 부산지역 외식 제과제빵전공 2년제 대학생 299명을 대상으로 SPSS 20.0 통계 프로그램을 이용하여 빈도분석, 요인분석 상관관계분석을 하였다. 또한 전공 파트타임 경험의 조절효과가 있는지의 검정은 3단계 위계적 회귀분석을 실시하였다. 분석결과, 교육환경과 만족도간에는 정의 상관관계가 있었고, 전공 파트타임 경험은 물리적 환경만 p<0.01에서 통계적으로 유의하게 나타나 교육환경에서 부분 채택되었고, 조절효과는 $R^2$값이 0.603에서 0.610으로 0.007 증가하여 교육환경에 전공 파트타임 경험이 만족도를 증가시키는 것으로 분석되어 조절효과가 있는 것으로 알 수 있다. 만족도가 추천의도에 미치는 영향에서 전공 파트타임 경험의 조절효과는 기각되었다.

• 한국산학기술학회논문지
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• 제19권2호
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• pp.173-184
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• 2018

이 연구의 목적은 39개 공공병원 간호직을 대상으로 하여 직무자체 만족, 의사소통 만족, 평가와 보상체계 만족, 근무환경 만족, 공공병원 역할수행 만족이 환자들의 만족도, 재이용 의향, 타인추천의향 간의 구조적 인과관계를 구조방정식 모형분석을 통해 확인하기 위함이다. 이 연구의 자료는 '2012년 지역거점공공병원 운영평가'를 통해 수집된 2차 자료를 활용하였다. 이 연구의 대상자는 39개 지역거점공공병원의 간호직 2,375명과 환자 3,433명이었다. 간호직의 직무만족도 조사도구는 5개 요인과 13개 항목으로 구성되었다. 환자의 만족도, 재이용의향, 타인추천의향 설문도구는 각 1개 항목, 11점 척도(0점 매우 부정적, 10점 매우 긍정적)로 구성되었다. 이 연구의 자료분석은 SPSS 20버전과 AMOS 20버전을 활용하였다. 모형의 적합도 지수는 입원환자의 경우 ${\chi}^2$ 904.598 (df=81, p<0.001), GFI 0.938, AGFI 0.900, RMSR 0.076의 값을 갖고, 외래환자의 경우 ${\chi}^2$ 869.021(df=81, p<0.001), GFI 0.940, AGFI 0.900, RMSR 0.074값을 가진 권장기준 내 적합한 최적 모형을 도출하였다. 간호직은 공공병원에서 가장 큰 의료인 집단이면서 환자에게 직접 간호를 제공한다. 따라서 간호직의 직무만족도는 환자만족도에 지대한 영향을 끼침으로 환자만족도를 향상시키기 위해 간호직의 직무만족도는 중요하게 고려되어야 할 것이다.