• International journal of advanced smart convergence
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• v.12 no.4
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• pp.104-110
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• 2023

In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.69-74
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• 2022

Big data related analysis techniques, the prescriptive analytics methodology improves the performance of passive learning models by ensuring that active learning secures high-quality learning data. Prescriptive analytics is a performance maximizing process by enhancing the machine learning models and optimizing systems through active learning to secure high-quality learning data. It is the best subscription value analysis that constructs the expensive category data efficiently. To expand the value of data by collecting research field, research propensity, and research activity information, customized researcher through prescriptive analysis such as predicting the situation at the time of execution after data pre-processing, deriving viable alternatives, and examining the validity of alternatives according to changes in the situation Provides research information service.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.147-181
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• 2016

This study aims to bound the preliminary material for the disabled to provide personalized information systematically and effectively. In order to carry out this study, reference research and survey are conducted the disabled, protector, professional, researcher and teacher. The result, disabled and the persons involved in primary source of disability was a portal site. Critical information types were job board, mobile access to (traffic) information on the information, and medical institutions and so on. Also, Able-bodied compared to the importance of information for disabled people was low and acquisition of data feel it is hard and availability of critical information types, depending on the types of disability and acquisition the difference appeared.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.319-328
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• 2019

This study aims to deeply understand the possible difficulties faced by a single-parent family raising a gifted child, based on the case of an Information Science gifted child raised under a single-parent family. For this purpose, there had been three interviews with the single mother who raises an elementary school gifted child on her own. As a result, it was discovered that a single mother raising an Information Science gifted child faces three difficulties that are the lack of educational support due to financial problems, deficiency in the absence of father, and facing social prejudice against a single-parent family. These three problems were similar to those faced by a single-parent raising an ordinary child, but there were slight differences due to the unique characteristics of an Information Science gifted child. Additionally, through the mentoring with the researcher, it was identified that in order to help these families, they need to be given personalized support for their specific defects.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.273-296
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• 2013

The purpose of this study is to examine the data coverage and citation threshold for analyzing SPLC(Search Path Link Count) as a main path of a historiograph of a certain topic in order to provide 'core' papers of global research trends to a researcher affiliated with a local R&D institution. 5 datasets were constructed by retrieving and collecting 2,318 articles on RGB LED on Web of Science published from 1990-2013 and 20,109 articles which cited these original 2,318. The SPLC analysis was performed on each dataset by increasing the threshold of citation counts, and the changes and resilience of the 28 extraced networks were compared. The results of user feedback on 198 unique core papers from 28 SPLC networks received from LED researchers affiliated with a Korean government-sponsored research institution were also analyzed. As a result, it is found that the nodes in each SPLC network in each dataset were differentiated by the citation counts, while the changes in the structure of SPLC networks were slight after the networks' citation counts were set at 40. Additionally, the user feedback showed that personalized research interest generally matched to the global research trends identified by the SPLC analysis.