• 한국인터넷방송통신학회논문지
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• 제22권6호
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• pp.185-190
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• 2022

오픈 데이터는 많은 경제적 가치를 지닌다. 우리나라 뿐만 아니라 여러 나라에서도 오픈 데이터를 확장하고 활용하기 위하여 갖은 정책과 노력을 기울이고 있다. 하지만 우리나라는 많은 데이터를 가지고 있음에도 불구하고 이를 잘 활용하지 못하여 효과를 보지 못하고 있어 여러 산업에서 다양한 시도가 필요하다. 그중에 패션 산업에서는 소비자의 단순 변심에 의해 교환, 환불 문제가 가장 많다. 이러한 문제를 해결하기 위해 서비스 제공자에게 더 나은 피드백이 필요하며 소비자의 요구사항이 반영된 사용자 리뷰와 함께 불만 사항이 개선된 이미지를 보여줌으로써 해결하고자 한다. 본 논문에서는 소비자의 요구사항을 파악하기 위해 온라인 쇼핑몰 사이트에서 사용자 리뷰 분석을 진행하고 K-fashion 데이터의 속성을 활용하여 제품에 대한 속성을 정의한다. 제품에 대한 사용자의 요구를 불만 속성으로 정의하고, 이에 해당하는 속성을 가진 라벨링 데이터를 검색하여 서비스 제공자에게 사용자의 요구사항을 텍스트 데이터나 속성 뿐만 아니라 이미지 또한 제공하여 제품 개선에 도움을 주고자 한다.

• 한국정보시스템학회지:정보시스템연구
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• 제27권1호
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• pp.89-110
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• 2018

Purpose There is much information in customer reviews, but finding key information in many texts is not easy. Business decision makers need a model to solve this problem. In this study we propose a multi-topic sentiment analysis approach using Latent Dirichlet Allocation (LDA) for user-generated contents (UGC). Design/methodology/approach In this paper, we collected a total of 104,039 hotel reviews in seven of the world's top tourist destinations from TripAdvisor (www.tripadvisor.com) and extracted 30 topics related to the hotel from all customer reviews using the LDA model. Six major dimensions (value, cleanliness, rooms, service, location, and sleep quality) were selected from the 30 extracted topics. To analyze data, we employed R language. Findings This study contributes to propose a lexicon-based sentiment analysis approach for the keywords-embedded sentences related to the six dimensions within a review. The performance of the proposed model was evaluated by comparing the sentiment analysis results of each topic with the real attribute ratings provided by the platform. The results show its outperformance, with a high ratio of accuracy and recall. Through our proposed model, it is expected to analyze the customers' sentiments over different topics for those reviews with an absence of the detailed attribute ratings.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제6권1호
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• pp.1-10
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• 2000

Spatial analysis in GIS provides an important way that helps the end-users decision-making. For such a reason, query model for analysis should be able to support the users view conceptually in constructing query statements. The traditional approaches in design of query model used to extend the functionality of model that basically designed for manipulation of attribute-operations by appending operators for spatial operations to the query statements of model. However, by the reason of spatial operation's characteristics that are different from those of attribute operations In nature, the structures of query statements in previous approaches are unnatural, inconsistent, and therefore those query models in previous approaches are not able to support the users view in retrieving analysis. In this paper, we proposed the methodology for constructing of user query and internal processing this query based on object-oriented paradigm, in the view of spatial operations by using the basic concept that spatial query is a methodology for spatial analysis. In addition, we presented a strong possibility of designing spatial query model that might actively have interaction with its user by implementing CIW(Class-Information Window) query interface corresponded with the methodology proposed in this paper.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.855-861
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• 2005

Every public agency governing infrastructure has to plan effectively for rehabilitation of existing facilities within the constraints of the capital program. Numerous technical, social, political, financial, and management constraints govern the decision to rehabilitate a facility. However, without a systematic procedure for selecting facilities for rehabilitation, within the prevailing constraints, it is possible that the funds available for rehabilitation might be suboptimized. Therefore, a decision support system that assists the user in selecting facilities for rehabilitation while considering the technical, social, financial, and political and management constraints will be useful in the decision-making process. This paper compares the Analytical Hierarchy Process (AHP) with the Swing Weight method used to prioritize functional criteria for suburban station rehabilitation. This paper also contains a brief discussion about the relevance of the Multi Attribute utility theory in developing a decision model for the problem at hand. The results of this paper provides the user with a decision support system that would prioritize the stations in order of their weights obtained by a systematic evaluation of various criteria and sub-criteria involved in the decision making process

• 한국컴퓨터산업학회논문지
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• 제5권9호
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• pp.921-928
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• 2004

이 논문에서는 웹 기반의 하이퍼미디어 교육시스템에서 이산 확률 분포 함수와 사용자 프로파일 기반의 동적 적응 모델을 제안하였다. 이 모델은 응용 영역을 동적 적응 객체의 가중치 방향성 그래프로 표현하며, 사용자 행위를 이산 확률 함수를 동적으로 구축하는 접관 방식을 이용하여 모델링한다. 제안한 확률적 해석은 웹 미디어 구조에서 사용자의 탐색 행위를 추적하여 사용자 행위에 대한 잠재적 속성을 나타내는데 사용될 수 있다. 이러한 접근 방식은 사용자에게 가장 알맞은 프로파일을 동적으로 할당할 수 있다.

• 한국지능시스템학회논문지
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• 제6권4호
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• pp.17-26
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• 1996

Software reuse is a method which increases the productivity of software, nevertheless software reuse is not employed well in real world. One of the important factors occured this proplem is insufficinet inforamtion in understanding and adapting the existing components. Understanding and adapting of components can be measured emplying user's experience and the attributes which the existing programs provide. Especially user's experience is very important attribute in understanding and adapting components, and it can't be measured by simple metrics. We propose in this paper, the reuse-easingess measurement system using fuzzy logic. This system can provide information regarding reusing components by reflecting user's experience from user's point of view, and can reduce the reuse effort signinificantly.

• 디지털산업정보학회논문지
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• 제8권1호
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• pp.157-170
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• 2012

Recently, user-created video shows high increasing in production and consumption. Among these, videos records an identical subject in limited space with multi-view are coming out. Occurring main reason of this kind of video is popularization of portable camera and mobile web environment. Multi-view has studied in visually representation technique fields for point of view. Definition of multi-view has been expanded and applied to various contents authoring lately. To make user-created videos into multi-view contents can be a kind of suggestion as a user experience for new form of video consumption. In this paper, we show the possibility to make user-created videos into multi-view video content through analyzing multi-view video contents even there exist attribute differentiations. To understanding definition and attribution of multi-view classified and analyzed existing multi-view contents. To solve time axis arranging problem occurred in multi-view processing proposed audio matching method. Audio matching method organize feature extracting and comparing. To extract features is proposed MFCC that is most universally used. Comparing is proposed n by n. We proposed multi-view video contents that can consume arranged user-created video by user selection.

• 한국시뮬레이션학회논문지
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• 제18권2호
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• pp.39-48
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• 2009

본 연구는 내용 기반 이미지 검색 관련한 기존의 이미지 검색 방식에 관한 고찰을 통하여 이미지 검색의 한계점을 살펴보고, 보다 효율적인 내용기반의 이미지 검색을 위한 사용자용 인터페이스와 이미지 속성 활용 방법에 대하여 제안 하고자 한다. 현재 이미지 검색에 관련된 대부분의 연구들은 내용기반을 위주로 연구가 진행되고 있으며, 대표적으로는 이미지의 색상, 질감, 모양, 전체적인 이미지 형태를 기준으로 검색을 시도하고 있다. 하지만 여러 가지 기술적 한계로 인하여 만족할 만한 검색결과를 얻지 못하고 있다. 이에 본 연구에서는 내용기반 이미지 검색과 종래의 키워드 검색 방식을 적용한 새로운 검색방식을 제안하였다. 이는 이미지 내에 텍스트로 속성을 부여하는 방법과, 이미지 내의 속성정보들을 키워드화 하여 검색에 활용함으로써 이미지를 빠르게 검색하는 방법에 대한 것이다. 또한 인터넷상에서의 질의어 생성을 위한 사용자 인터페이스용 시뮬레이션과 이미지 속성을 기반으로 한 검색 시스템개발 시 활용할 수 있는 분야로 인터넷 쇼핑몰의 의류상품 검색을 중심으로 설명 하였다. 본 연구로 인해 인터넷 쇼핑몰에서 새로운 구매유형이 추가될 수 있고, 유사 이미지 검색 분야의 발전에 기여할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.4042-4061
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• 2022

Recently, various security threats such as data leakage and data forgery have been possible in the communication and storage of data shared in the cloud environment. This paper conducted a study on the CP-ABSC scheme to solve these security threats. In the existing CP-ABSC scheme, if the data is obtained by the unsigncryption of the data user incorrectly, the identity of the data owner who uploaded the ciphertext cannot be known. Also, when verifying the leaked secret key, the identity information of the data user who leaked the secret key cannot be known. In terms of efficiency, the number of attributes can affect the ciphertext. In addition, a large amount of computation is required for the user to unsigncrypt the ciphertext. In this paper, we propose ECP-ABSC that provides data user traceability, and use it in a cloud environment to provide an efficient and secure data sharing scheme. The proposed ECP-ABSC scheme can trace and verify the identity of the data owner who uploaded the ciphertext incorrectly and the data user who leaked the secret key for the first time. In addition, the ciphertext of a constant size is output and the efficiency of the user's unsigncryption computation were improved.

• 한국IT서비스학회지
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• 제12권3호
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• pp.23-37
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• 2013

Social commerce is a subset of e-commerce that involves using social media, and user contributions to assist in the online buying and selling of products and services. Given the rapid growth of social commerce sites such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing decision-making processes in the social commerce environment. This study developed a theoretical model to examine the role of social commerce site's stickiness in customers' repurchasing decision processes. This study identifies price attribute, variety of selection, shopping enjoyment, and anger as the key factors of social commerce site's stickiness. Data collected from 164 users who had more purchasing experiences with social commerce for more than 7 months were empirically tested against the research model. The analysis results indicate that social commerce site's stickiness plays an important role in enhancing customer's purchasing behavior. Moreover, price attribute and shopping enjoyment significantly influence social commerce site's stickiness, whereas anger does not significantly affect consumer purchasing decision-making processes. However, contrary to our expectation, variety of selection negatively influences social commerce site's stickiness. The theoretical and practical implications of the findings are described.