• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6499-6504
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• 2014

Health information-seeking behavior (HISB) is active need-fulfillment behavior whereby health information is obtained from diverse sources, such as the media, and has emerged as an important issue within the transforming medical environment and the rise of medical consumers. However, little is known about the factors that affect HISB and its associations, and the health outcome of HISB. The aim of this study was to examine individual and social contextual factors associated with HISB and to systematically review their effects on health status among post-treatment cancer patients. Individual determinants of HISB included demographic factors, psychosocial factors, perceived efficacy and norms, and health beliefs. Contextual determinants of HISB encompassed community characteristics, neighborhood social capital, and media advocacy. Improving through factors on these two levels, HISB raised individuals' self-care management skills and medical treatment compliance, and enhanced shared decision-making and medical treatment satisfaction. Moreover, because HISB can differ according to individuals' social contextual conditions, it can give rise to communication inequalities. Because these can ultimately lead to health disparities between groups, social interest in HISB and balanced HISB promotion strategies are necessary.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.548-556
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• 2007

We present an automatic semantic annotation system for Korean on the EXCOM (EXploration COntextual for Multilingual) platform. The purpose of natural language processing is enabling computers to understand human language, so that they can perform more sophisticated tasks. Accordingly, current research concentrates more and more on extracting semantic information. The realization of semantic processing requires the widespread annotation of documents. However, compared to that of inflectional languages, the technology in agglutinative language processing such as Korean still has shortcomings. EXCOM identifies semantic information in Korean text using our new method, the Contextual Exploration Method. Our initial system properly annotates approximately 88% of standard Korean sentences, and this annotation rate holds across text domains.

• Korean Management Science Review
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• v.8 no.1
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• pp.109-125
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• 1991

In this study, it was empirically proved that there is significant congruence relationships between the information characteristics of Accounting Information Systems and the contextual variables of organiational structure, task characteristics, It was also supported that influence factors, such as user participation, top management support, capability of information system personnel and the existence of steering committee have an effect on the relationships.

• Korean Journal of Health Education and Promotion
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• v.30 no.1
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• pp.41-52
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• 2013

Objectives: Rural-urban differences in suicide have been observed in many settings. However, there has been little research addressing what factors can explain these differences. The purpose of this study was to analyze which compositional factors and contextual factors in local areas might be related to local suicide. Methods: The study design was cross-sectional. The data for 251 primary local governments on their age-standardized suicide mortality and their predefined indicators of compositional factors and contextual factors were obtained from Korean Statistical Information Service as of year 2010. Bivariate analysis including one-way ANOVA and chi-square test were used to identify the differences in local features by area type. Seven poisson regression models for each of total, males, and females were used to analyze which compositional and contextual factors were related to suicide. Results: There were differences in suicide between gu and goon in total, male, and female groups. For total, compositional factors including divorce and smoking rate, and contextual factors including financial independency, water and waterwaste coverage, and number of wastewater discharge factories were found to explain the urban-rural differences. Conclusions: This study provided some evidence that contextual factors at the local level as well as compositional factors are useful for predicting local suicide mortality.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.73-80
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• 2008

In this paper, an advertisement-keyword finding method using document clustering is proposed to solve problems by ambiguous words and incorrect identification of main keywords. News articles that have similar contents and the same advertisement-keywords are clustered to construct the contextual information of advertisement-keywords. In addition to news articles, the web page and summary of a product are also used to construct the contextual information. The given document is classified as one of the news article clusters, and then cluster-relevant advertisement-keywords are used to identify keywords in the document. We could achieve 21% precision improvement by our proposed method.

• Korean Management Science Review
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• v.14 no.2
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• pp.199-223
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• 1997

This paper represents an exploratory effort to test empirically the contingent relationships between the contextual variables, such as user task characteristics and personality, and the information characteristics of Accounting Information Systems (AIS), and to prove the effects of influence factors on the increase of personal office productivity. In this study, it was suggested that personal office productivity is influenced by the fit between the contextual variables and the information dimensions of ALS. It was also proved that influence factors have a positive effect on the increase of personal office productivity.

• KIISE Transactions on Computing Practices
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• v.24 no.2
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• pp.82-87
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• 2018

In the field of access control, policy conflicts must be solved and various related solutions are being researched and developed. In order to resolve the policy conflict problem, it is necessary to first identify the cause of the conflict, and as a minimum condition, it is necessary to detect the contextual elements of the policy that have influenced the policy evaluation decision. Although the XACML policy language specification provides a way to define this, the policy creator currently has limitations in not clearly describing the causes of conflicts in every contextual elements. In addition, in order to identify the causes of the policy conflict, it is necessary to acquire additional information such as other policy combination algorithms, in addition to these contextual factors. In this paper, we propose an effective method to identify contextual factors, as well as to locate additional information that cause policy conflicts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3168-3186
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• 2020

Automatic topic essay generation (TEG) is a controllable text generation task that aims to generate informative, diverse, and topic-consistent essays based on multiple topics. To make the generated essays of high quality, a reasonable method should consider both diversity and topic-consistency. Another essential issue is the intrinsic link of the topics, which contributes to making the essays closely surround the semantics of provided topics. However, it remains challenging for TEG to fill the semantic gap between source topic words and target output, and a more powerful model is needed to capture the semantics of given topics. To this end, we propose a pretraining-based contextual self-attention (PC-SAN) model that is built upon the seq2seq framework. For the encoder of our model, we employ a dynamic weight sum of layers from BERT to fully utilize the semantics of topics, which is of great help to fill the gap and improve the quality of the generated essays. In the decoding phase, we also transform the target-side contextual history information into the query layers to alleviate the lack of context in typical self-attention networks (SANs). Experimental results on large-scale paragraph-level Chinese corpora verify that our model is capable of generating diverse, topic-consistent text and essentially makes improvements as compare to strong baselines. Furthermore, extensive analysis validates the effectiveness of contextual embeddings from BERT and contextual history information in SANs.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.1-21
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• 2001

The unprecedented growth of Internet technologies has made resources on the World-Wide-Web(WWW) instantly accessible to various user communities. While e-commerce has become as an important issue with the growth of the Internet, there are insufficient empirical research efforts concerning its status in Korea. The United States, in contrast, has made significant efforts in making empirical research regarding this issue. In this paper, we demonstrate not only how these contextual differences influence consumer satisfaction with the purchased products/services, but also what contextual constructs make consumers satisfied or dissatisfied. In addition, we tried to find the difference in the factors of consumer satisfaction between a developed country(i.e., United States) and a developing country(i.e., Korea) with regard to e-commerce. The study findings suggest that contextual problems need to be solved before e-commerce provides real benefits for consumers and businesses.