• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.223-229
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• 2022

LinkedIn is one of the most job hunting and career-growing applications in the world. There are a lot of opportunities and jobs available on LinkedIn. According to statistics, LinkedIn has 738M+ members. 14M+ open jobs on LinkedIn and 55M+ Companies listed on this mega-connected application. A lot of vacancies are available daily. LinkedIn data has been used for the research work carried out in this paper. This in turn can significantly tackle the challenges faced by LinkedIn and other job posting applications to improve the levels of jobs available in the industry. This research introduces Text Processing in natural language processing on datasets of LinkedIn which aims to find out the jobs that appear most in a month or/and year. Therefore, the large data became renewed into the required or needful source. This study thus uses Multinomial Naïve Bayes and Linear Support Vector Machine learning algorithms for text classification and developed a trained multilingual dataset. The results indicate the most needed job vacancies in any field. This will help students, job seekers, and entrepreneurs with their career decisions

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.224-231
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• 2018

Recently, the importance of intelligent personalized services is increasing in the era of the 4th Industrial Revolution. In this paper, we proposes design and implementation of the agent recruitment service system for the intelligent headhunting service. The proposed service system has designed and implemented an intelligent service system to efficiently recruit and manage applicants(job seekers). In addition, we develops the modules that can analyze the profile information of the applicant(job seeker), and implement the algorithm to predict the talent verification and analyze the talent type. The proposed service system is expected to contribute to designing the innovative and new service models for the intelligent agent recruitment service system.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.322-324
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• 2001

급속한 인터넷 발전과 사용자들의 증가에 따라 나날이 사용자 요구사항이 복잡 다양해지고 있다. 또한, 이러한 사용자 요구를 총족시키지 못하는 인터넷 업체는 뒤떨어지게 되어 있어 여러 가지 고객관리 기법들이 연구되고 있다. 그 중에서 개인별 성향을 분석하여 원하는 정보만을 선택하여 추천해 줌으로써 사용자와의 관계를 지속시키는 맞춤 서비스라는 것이 있다. 그리고, 이러한 서비스를 유선 인터넷뿐만 아니라, WAP 기반 무선 인터넷상에서도 제공해 줌으로써, 사용자들은 시간과 공간의 제약을 받지 않고, 이동 중에서도 원하는 정보를 얻을 수 있다. 본 논문은 에이전트를 이용하여 사용자별 구인/구직 성향을 분석하고, 이를 통해 가장 알맞은 사용자별 구인/구직 맞춤정보를 유/무선 인터넷상에서 제공해주는 시스템 모델을 제시한다.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.305-310
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• 2020

Lately the increase of unemployment and freeters, the use of mobile applications for part-time jobs has been increasing. This study identifies the problems of mobile job applications and focuses on domestic applications: 'Albamon' and 'Albachunkuk'. By conducting surveys and in-depth interviews based on Peter Morville's Honeycomb model. The usability assessment, the proposed improvement results are as follows: First, unhealthy establishments and overlapping job blocking filters should be further strengthened. Second, a design to tailor to the 20s age group, who are the main user of the application, is needed. Third, a fully customized part-time job listing is needed for users on the application landing page. Fourth, the application requires verification procedures for the document preparation regarding work contracts and reporting of employers. This study hopes to add to the improvement of job-seeking application services in Korea.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.203-208
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• 2017

Recently, the youth unemployment becomes the significant social problems and various industry-university cooperation projects those reflect the job site oriented education are planned and fulfilled at the university in order to help graduates to get the job easily. These efforts, however, becomes job hunting failure or suffers lots of trials and errors without reflecting the correct circumstances of the job market properly. In this paper, we propose the business model for training the 4th grade students as a job site oriented software engineers in BLE fields through tight industry-university cooperation and fulfill the related project. After then, we search for the problems and failure factors of the business model through the correspondence strategy analysis for weaknesses and threat factors and propose the improved and successful business model.

• Convergence Security Journal
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• v.21 no.3
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• pp.75-80
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• 2021

This study provided personnel and recruitment information related to job offer and job hunting, and proposed a non-face-to-face platform that can facilitate matching of one-time services as well as periodic services. The existing recruitment and job search method for personal assistant of the disabled is a one-way matching method in which a person in charge of the service providing centers assigns an activity assistant belonging to the institution when a consumer requests an personal assistant service, so the choice of job seekers is very weak. The job matching platform of the activity assistant for the disabled can be logged in separately by dividing users and separating them into the interface of the disabled or the disabled family members (job seekers) and activity assistants for the disabled (job seekers). Search for job offer and job seekers that meet their respective conditions, and real-time bidirectional decision-making through the chat function, and when the activity assistance service is completed, recruiters and job seekers can write service reviews and evaluations from their own point of view. The real-time interactive decision-making matching platform will also help minimize blind spots where it is difficult to provide services when short-term or one-time assistance is needed.

• Journal of the Korean Home Economics Association
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• v.30 no.3
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• pp.177-191
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• 1992

This study investigated how different relationships the family has with its social networks by social class. Among research families' primary social networks, the wife's relatives are the most, the neighbor the second, the husband's relative the third, and the church (or other religious groups) the fourth. Social class does not make any difference in what social network is the family's primary social network. When the husband or the wife participates in a social network, he or she tends to participate alone without his or her spouse. When the husband's educational level is high, the wife tends to participate in her alumni association alone. When the husband is in a professional or a white-collar occupation, he is likely to socialize with his work associates alone. On the contrary, when the family income gets high, the husband tends to bring his wife to his alumni association. When looking for a job, most husbands and wives do not resort to a social network for help. Lower-class people are more likely to obtain jobs through their social networks compared to higher-class people. That is, the lower one's educational levle, one's occupational status, or the family income is, the more likely one gets help from some social networks in searching jobs.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.9-10
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• 2022

본 논문에서는 딥러닝을 활용하여 취업준비생들의 데이터에 의하여 취업 가능 여부와 그에 따른 유용한 정보들을 얻기 위한 시스템을 제안한다. 취업 가능성이 성공적으로 평가된다면 예비 사회인, 취업준비생, 대학생들이 미리 취업 준비가 어느 정도 이루어졌는지 본인의 위치를 평가할 수 있으며 강점과 약점을 파악할 수 있을 것이다. 본 연구를 위해 취업생 및 취업준비생 데이터를 포함하는 CSV파일을 생성하였고, 딥러닝을 활용하여 유용한 정보들을 추출해내는데 성공했다. 이를 통해 취업 가능성 예측 프로그램은 취업준비생들과 기업의 인사관리자들에게 커다란 이점을 제공할 수 있을 것으로 보인다. 더 나아가 이 프로그램은 기업 구성원들의 업무능력을 평가할 수 있는 프로그램으로도 활용할 수 있을 것으로 사료된다.

• Journal of Digital Convergence
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• v.6 no.4
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• pp.1-11
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• 2008

We conducted a survey to investigate the actual conditions of work experience, job-hunting, vocational training for unemployed women. The motivation of the study is that the conditions of unemployed women can serve as an important data in developing and utilizing womanpower. We can see that maintaining a balanced work-family life is the major obstacle against developing and utilizing womanpower, so it needs to be solved firstly. Secondly, vocational training system should satisfy the demand of business and conduct unemployed women to employment after training. Thirdly, political support is needed to make social service jobs that women of every class can participate in.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.423-442
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• 2018

This study observes the psychological changes of unemployed people according to their unemployment period. With this what psychological changes they face according to their unemployment period and what psychological characteristics they show, whether if psychological changes and job hunting activities are in relation, and whether if psychological changes affect job hunting activities. The study subjects received unemployment wage and were divided according to before employment, 1~3 months unemployed, and 4 months or more unemployed. An in-depth research of 8 people was conducted within the period of 2017.05~08. The psychological characteristics of people, in the period from when they first sense unemployment possibilities until three months of unemployment, are anger, anxiety, fear, which is a mixed characteristic that does not disappear but continues deepening. In study there was no significant difference in depression, anxiety, anger, social phobia, alcohol, religion factors, low self-esteem, and low self-efficacy in before employment, 1~3 months unemployed, and 4 months or more unemployed. However, the average levels of anger anxiety, depression, and social phobia were higher when the unemployment period was longer and the results of low self-esteem and low self-efficacy support further research.