• Asian Pacific Journal of Cancer Prevention
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• 제15권16호
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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.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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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.

• 경영과학
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• 제8권1호
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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.

• 보건교육건강증진학회지
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• 제30권1호
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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.

• 지능정보연구
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• 제28권4호
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• pp.95-117
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• 2022

인터넷 기술의 발전으로 인해 다양한 미디어가 등장하면서 광고주들은 기업의 광고 전략에 적합한 미디어를 선택하는데 어려움을 경험하고 있다. 전통적인 광고 마케팅 전략을 바탕으로 광고 미디어를 선택하면 소비자의 상황 정보를 효과적으로 반영하는데 어려움이 존재한다. 이러한 상황에서 소비자의 과거 데이터를 분석하여 소비자가 필요하거나 관심 있는 정보를 바탕으로 광고주에게 맞춤형 미디어를 제공하는 추천 시스템이 필요하다. 전통적인 추천 시스템은 정량적 선호도 정보를 기반으로 추천 서비스를 제공하기 때문에 다양한 상황 정보를 반영하기 어려운 문제점이 존재한다. 본 연구에서는 딥러닝을 이용하여 소비자의 미디어 시청 시간, 거주 지역, 나이, 성별 등 상황 정보를 고려하여 광고주에게 맞춤형 미디어를 추천하는 방법론을 제안한다. 본 연구는 한국방송광고진흥공사에서 제공하는 소비자행태조사 데이터를 사용하여 추천 시스템을 구축하였다. 또한, 기존 연구에서 널리 사용되는 여러 벤치마크 모델과 비교하여 추천 성능을 검증하였다. 실험 결과, 본 연구에서 제안하는 소비자의 상황 정보를 반영한 추천 모델이 기존의 벤치마크 모델보다 높은 정확성을 나타내는 것을 확인하였다. 이 연구는 향후 광고주들이 소비자의 여러 상황 정보를 바탕으로 맞춤형 미디어 선택할 때 효과적인 의사결정을 내릴 수 있도록 도움을 주는데 기여를 할 수 있을 것으로 기대한다

• 정보처리학회논문지B
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• 제15B권1호
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• pp.73-80
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• 2008

본 연구에서는 문서 클러스터링을 이용하여 동음 이의어와 핵심단어 선정 실패로 인해 발생하는 자동 광고 시스템의 오류를 해결하는 광고 키워드 추출방식을 제안한다. 먼저 대규모 뉴스기사를 대상으로 유사한 내용을 가지며 동일한 광고 키워드와 연관이 있는 기사들을 자동으로 분류하여 광고 키워드에 대한 문맥 정보를 구축한다. 또한 광고 대상물에 대한 광고주의 요약 정보나 광고 대상 웹페이지를 분석하여 광고 키워드에 대한 문맥 정보를 추출하는 방식을 보인다. 이렇게 구축된 문서 분류와 광고 키워드용 문맥 정보를 이용하여 광고 대상 문서가 속한 문서 분류를 추정하여 단어들의 의미적인 애매성을 해결하고, 추정한 문서 분류와 관련 있으면서 문맥적으로 중요성을 가지는 핵심 단어들을 선정하여 광고 키워드를 추출한다. 상용 광고 시스템과의 비교 분석 결과 신문 기사나 일반 블로그를 대상으로 최소 21%의 성능 향상을 얻었다.

• 경영과학
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• 제14권2호
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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.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제24권2호
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• pp.82-87
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• 2018

접근 제어 분야에서 정책 충돌 문제는 반드시 해결되어야 하는 이슈이며, 이를 위한 다양한 해결 방법들이 연구 및 개발되고 있다. 정책 충돌을 해결하기 위해서는 충돌 원인을 먼저 확인해야 하며, 이를 위한 최소한의 조건으로써 정책 평가 결정에 영향을 준 정책의 문맥적 요소를 탐지할 필요가 있다. XACML 정책 언어 명세에 이를 정의하는 기능이 있으나 정책 작성자가 모든 문맥적 요소마다 일일이 정의해야 하는 한계를 가진다. 또한, 정책 충돌의 원인 파악을 위해서는 문맥적 요소 이외에 다른 정책 조합 알고리즘과 같은 추가적인 정보도 알아야 할 필요가 있다. 본 논문에서는 정책 충돌의 원인이 되는 문맥적 요소 및 추가 정보를 파악하기 위한 효과적인 방안을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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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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• 제11권2호
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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.