• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.241-250
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• 2018

Online recruitment services have emerged as one of the most popular Internet services, providing job seekers with a comprehensive list of jobs and a search engine. But many recruitment services suffer from shortcomings due to their reliance on traditional client-pull information access model, in manay cases resulting in unfocused search results. Worldjob+, being operated by The Human Resources Development Service of Korea, addresses these problems and uses Splunk, a platform for analyzing machine data, to provide a more proactive and personalised services. It focuses on enhancing the existing system in two different ways: (a) using personalised automated matching techniques to proactively recommend most preferrable profile or specification information for each job opening announcement or recruiting company, (b) and to recommend most preferrable or desirable job opening announcement for each job-seeker. This approach is a feature-free recommendation technique that recommends information items to a given user based on what similar users have previously liked. A brief discussion about the potential benefit is also provided as a conclusion.

• Digital Contents
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• no.10 s.137
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• pp.100-102
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• 2004

통계청의 8월 고용동향과 경제활동 인구조사에 따르면, 지난달 국내 실업률은 3.5%로 실업 인구 수가 80만명에 이른 것으로 나타났다. 이중 20대 청년실업자가 차지하는 비율이 40.7%로 전체 실업자의 절반에 육박하고 있어 현재 청년실업 문제가 매우 심각한 것으로 조사됐다. 특히 최근 들어 벤처기업의 1사 1인 채용운동 등 각계에서 고용안정을 위한 다양한 노력을 기울이고 있음에도 불구하고 실업난이 수그러들 기미를 보이지 않음에 따라 취업 알선을 위한 보다 정확하고 신속한 정보 제공이 요구되고 있다. 더구나 중앙고용정보원의 워크넷이나 중소기업청의 인력정보망 등 온라인을 통한 다양한 구인∙구직 사이트들이 활성화돼 있어 구직 희망자들이 적극 활용하고 있는데, 내수침체가 장기화되면서 고용 사정은 좀처럼 개선되지 않고 있다. 2004년 현재 온라인상으로만 채용공고를 하는 기업은 전체 기업의 30% 정도이며, 앞으로는 온라인을 통한 구인구직 활동이 더욱 활발해질 것으로 전망되고 있다. 실제 인터넷에서 채용정보 전문 서비스는 물론 분야별, 지역별로 구인구직 정보를 제공하고 있는 서비스를 합하면 350여개가 넘는다. 이 중 눈에 띄는 서비스가 바로‘워크넷’이다. ‘워크넷’은 노동부 산하 중앙고용정보원이 운영하는 구인구직 전문 사이트로서, 공공기관이 운영한다는 점에서 정보의 신뢰성과 전문성이 기대된다. 특히 하반기 채용 시즌을 맞아 구인구직활동이 더욱 활발해 질것으로 예상되기 때문에 이번 10월 DB서비스 평가에서는‘워크넷’을 소개하고자 한다.

• Journal of Information Technology and Architecture
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• v.11 no.3
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• pp.285-310
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• 2014

Based on the network, recruitment, education services, talent testing and human resources management etc. integrated services are expanded, and efforting to raise the market share of job information site. Job information site is an alternative finding job and recruiting environment, helping job seekers to conduct self-directed researching and applying for a job online. Directly or indirectly influential factors upon value of job information site are on the rise. Not only Korea but also China has already recognized the importance of these influential factors on job information site. However, the effective rate of implementing job information site is relatively lower among Chinese job market than Korea. This study suggests that there are differences of cultural background between Korea and China, and they were at different internet infrastructure, such differences impact on different job seekers.

• Information Systems Review
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• v.13 no.1
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• pp.33-59
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• 2011

Although online social network services widely used in human networking and recruiting industries, it is showing off its limitations in followings-it's hard to reach the status of seamless connection between offline and online; the incompletion and low credibility of the information came from non-face-to-face profile exchange; and the restraint of user autonomy due to centralized control. This paper defines the ubiquitous social network management which enables the seamless real-time face-to-face social interactions of the users based on WPAN (Wireless Personal Area Network) who share the same interest in real word and deduces a ubiquitous social network management framework based on it. As an instance of ubiquitous social network management, u-Recruiting service model will be designed and analyzed. The Analysis using the business model will be followed by the possible scenario of service model. The role, value proposition and potential benefits of the each participants in this service model and will be given as well. In order to evaluate relative advantages of the model suggested by this study, 6 cases will be compared.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.143-152
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• 2019

In this study, the author seeks to identify the status of the online job information service market and present strategic guidelines to maintain the market ecosystem based on it. The research method was carried out as a descriptive study to identify the online job information service market by utilizing various secondary data. Specifically, the market analysis identified the high potential growth rate of the job information service market and key issues. Industry trend analysis analyzed key service features, job seeker types and features, service use trends, promotion and marketing methods. Finally, through SWOT analysis of the market, strategic guidelines were proposed to lead the market ecosystem into a virtuous circle. In the first place, these findings will help us gain a comprehensive view of the market by identifying the status of the job information service market with a focus on the main issues. It may also provide companies in the industry with the necessary clues to their continued survival within the industry. Furthermore, the government and public organizations are expected to contribute to boosting the job information service market with the aim of creating and improving jobs.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.69-76
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• 2011

Matching customers becomes the key function in on-line mediate services. There are two matching methods: one-directional matching that requires requests from one side(e,g., information searching), bi-directional matching that considers requests from both sides. Previous bi-directional matching has difficulties of getting the interests explicitly and service collapse problems when the opposite side do not put responding interests. This paper attempts to automate the inputs of interests for bi-directional matching by calculating the interests with fuzzy matching algorithm for optimization. The results of the proposed Bi-directional Fuzzy Matching(BDFM) algorithm told that the job placement accuracy of employment information matching results is over 95%. And, BDFM gives statically significant positive effect for motivating the employment activities when analyzed the effect after completing the implementation.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.247-264
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• 2016

With the rapid acceleration of low-birth rate and population aging, the employment of the neglected groups of people including the middle aged class is a crucial issue in South Korea. In particular, in the 2010s, the number of the middle aged who want to find a new job after retirement age is significantly increasing with the arrival of the retirement time of the baby boom generation (born 1955-1963). Despite the importance of matching jobs to this emerging middle aged class, private job portals as well as the Korean government do not provide any online job service tailored for them. A gigantic amount of job information is available online; however, the current recruiting systems do not meet the demand of the middle aged class as their primary targets are young workers. We are in dire need of a specially designed recruiting system for the middle aged. Meanwhile, when users are searching the desired occupations on the Worknet website, provided by the Korean Ministry of Employment and Labor, users are experiencing discomfort to search for similar jobs because Worknet is providing filtered search results on the basis of exact matches of a preferred job code. Besides, according to our Worknet data analysis, only about 24% of job seekers had landed on a job position consistent with their initial preferred job code while the rest had landed on a position different from their initial preference. To improve the situation, particularly for the middle aged class, we investigate a soft job matching technique by performing the following: 1) we review a user behavior logs of Worknet, which is a public job recruiting system set up by the Korean government and point out key system design implications for the middle aged. Specifically, we analyze the job postings that include preferential tags for the middle aged in order to disclose what types of jobs are in favor of the middle aged; 2) we develope a new occupation classification scheme for the middle aged, Korea Occupation Classification for the Middle-aged (KOCM), based on the similarity between jobs by reorganizing and modifying a general occupation classification scheme. When viewed from the perspective of job placement, an occupation classification scheme is a way to connect the enterprises and job seekers and a basic mechanism for job placement. The key features of KOCM include establishing the Simple Labor category, which is the most requested category by enterprises; and 3) we design MOMA (Middle-aged Occupation Matching Algorithm), which is a hybrid job matching algorithm comprising constraint-based reasoning and case-based reasoning. MOMA incorporates KOCM to expand query to search similar jobs in the database. MOMA utilizes cosine similarity between user requirement and job posting to rank a set of postings in terms of preferred job code, salary, distance, and job type. The developed system using MOMA demonstrates about 20 times of improvement over the hard matching performance. In implementing the algorithm for a web-based application of recruiting system for the middle aged, we also considered the usability issue of making the system easier to use, which is especially important for this particular class of users. That is, we wanted to improve the usability of the system during the job search process for the middle aged users by asking to enter only a few simple and core pieces of information such as preferred job (job code), salary, and (allowable) distance to the working place, enabling the middle aged to find a job suitable to their needs efficiently. The Web site implemented with MOMA should be able to contribute to improving job search of the middle aged class. We also expect the overall approach to be applicable to other groups of people for the improvement of job matching results.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.301-319
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• 2022

In recent decades, research became more data-intensive in the fast-paced information environment. Researchers are facing new challenges in managing their research data due to the increasing volume of data-driven research and the policies of major funding agencies. Information professionals have begun to offer various data support services such as training, instruction, data curation, data management planning and data visualization. However, the emerging field of data librarians, including specific roles and competencies, has not been clearly established even though librarians are taking on new roles in data services. Therefore, there is a need to identify a set of competencies for data librarians in this growing field. The purpose of this study is to consider varying core competencies for data librarians. This exploratory study examines 95 online recruiting advertisements regarding data librarians posted between 2017 and 2021. This study finds core competencies for data librarians that include skills in technology, communication and interpersonal relationships, training/consulting, service, library management, metadata knowledge and knowledge of data curation. Specific core technology skills include knowledge of statistical software and computer programming. This study contributes to an understanding of core competencies for data librarians to help future information professionals prepare their competencies as data librarians and the instructors who develop and revise curriculum and course materials.