• 한국의류학회지
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• 제28권1호
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• pp.12-21
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• 2004

The purposes of this research were (1) to identify service quality and apparel quality in apparel stores, (2) to examine the influence of service quality, product quality and price on customer satisfaction, (3) to examine the influence of service quality, product quality, price and customer satisfaction on repurchase intention that is important feature of store patronage. The data was collected from 435 female students, career women, and house wives using questionnaire and analyzed by frequency analysis, factor analysis, reliability analysis and regression. The results of this research were as follows: (1) Service quality in apparel stores was divided into six factors: facilities and policy/ salesperson VMD/ after service/ impression and atmosphere/ promotion. (2) Product quality was divided into four factors: objective feature/ expressive feature/ wearing sensation/ fitness. (3) Service quality, product quality, price influenced customer satisfaction. (4) Product quality, price and customer satisfaction influenced repurchase intention directly, but service quality influenced repurchase intention indirectly. (5) Service quality factors that influenced customer to have repurchase intention were facilities and policy, salesperson, and VMD. (6) Product quality factors that influenced customer to have repurchase intention were objective feature and wearing sensation.

• 한국전자거래학회지
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• 제22권1호
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• pp.65-87
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• 2017

온라인 쇼핑몰에서 상품에 대한 사용자 리뷰와 평점을 분석하여 상품의 특징을 자동으로 추출하고 평점이 어떤 특징에 의해 부여된 것인지 판단하여 각 특징에 분배하여 점수화함으로써 상품의 특징을 파악할 수 있는 방법을 제안한다. 기존 방식은 상품 구매 여부를 결정하기 위해서 많은 리뷰와 평점을 읽는데 시간을 허비하거나, 상품의 장단점을 파악하기 어려울 뿐더러 상품에 부여된 평점이 어떠한 특징에 의해서 부여되었는지 알 수 없는 구조로 되어있다. 따라서 본 논문에서는 이러한 문제를 해소하기 위하여 사용자 리뷰에서 상품의 특징을 자동으로 추출하고 각 특징별 평점을 전체 평점에서 자동으로 분배 계산하여 보여주는 방법을 제안한다. 제안하는 방법은 상품별 리뷰와 평점을 수집하여 형태소 분석을 수행하고 이를 통해 상품의 특징과 이에 대한 감성어를 추출한다. 또한, 상품의 특징을 파악할 수 있도록 각 특징에 대한 가중치를 특징이 출현한 문장의 극성을 판단하여 부여하는 방법을 기술한다. 실험을 통하여 얻은 결과와 기존 방법을 비교하는 설문조사를 통하여 제안하는 방법의 유용성을 입증하였고, 상품 리뷰 전문가의 분석과 실험의 결과를 비교함으로써 타당성을 입증하였다.

• 정보처리학회논문지B
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• 제16B권6호
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• pp.497-502
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• 2009

본 논문에서는 상품평의 효율적인 분석을 위한 평가 항목 추출 시스템을 제안한다. 시스템은 크게 상품평 수집-보정과 평가 항목 추출의 두 단계로 구성된다. 상품평 수집-보정에서는 인터넷 쇼핑몰에서 상품평을 수집하고 상품평 특유의 구어체 표현과 맞춤법 오류 등을 처리한다. 평가 항목 추출에서는 스커트 상품 카테고리의 경우 ‘사이즈', ‘스타일'과 같이 상품을 평가하는 기준이 되는 항목을 상품평과 인터넷 상의 웹 문서를 활용하여 자동으로 추출한다. 상품평에 나타나는 명사들을 평가 항목 후보로 설정하고, 각 후보 명사의 상품평에서의 어휘 통계인 내부연관도와, 후보 명사와 상품 카테고리명의 웹 문서에서의 공기 빈도에 기반하여 계산된 외부연관도를 결합하여 상품과 평가 항목 후보의 연관도를 계산한다. 본 논문의 평가 항목 추출 방식은 평균 재현율 90%를 보여 기존 연구보다 우수한 결과를 보였다.

• 인터넷정보학회논문지
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• 제11권4호
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• pp.107-117
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• 2010

소프트웨어 제품들 사이의 공통된 개념과 서로 다른 개념들을 표현한 특성 모델과, 특정 제품에 포함될 특성들을 선택한 결과인 특성 구성은 소프트웨어 프러덕트 라인 개발 방법론에서 핵심 요소이다. 이들에 대한 정형적 시맨틱과 논리적 추론에 대한 연구가 진행 중이지만 시맨틱 웹 기술을 이용한 특성 모델 온톨로지 구축과 특성 구성 검증에 대한 연구는 아직 부족한 상황이다. 본 논문에서는 온톨로지와 시맨틱 웹 기술을 이용하여 특성 모델의 정형적 시맨틱을 정의하고 특성 구성을 검증하는 기법을 제안한다. 특성 모델과 특성 구성에 포함된 지식을 시맨틱 웹 표준 언어인 OWL(Web Ontology Language)로 표현하고 특성 구성을 검증하기 위한 규칙은 시맨틱 웹 규칙 언어인 SWRL(Semantic Web Rule Language)로 정의한다. 본 논문의 기법은, 특성 모델의 정형적 시맨틱을 제공하며 특성 구성 검증을 자동화할 뿐 만 아니라 SQWRL과 같은 다양한 시맨틱 웹 기술 적용을 가능하게 한다.

• 한국공작기계학회논문집
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• 제13권3호
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• pp.30-36
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• 2004

The exchange of model design data among heterogeneous CAD systems is very difficult because each CAD system has different data structures suitable for its own functions. STEP represents product information in a common computer-interpretable form that is required to remain complete and consistent when the product information is needed to be exchanged among different computer systems. However, STEP has complex architecture to represent point, line, curve and vectors of element. Moreover it can't represent geometry data of feature based models. In this study, a structure of XML document that represents geometry data of feature based models as neutral format has been developed. To use the developed XML document, a converter also has been developed to exchange modules so that it can exchange feature based data models among heterogeneous CAD systems. Developed XML document and Converter have been applied to commercial CAD systems.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 춘계학술대회 논문집
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• pp.434-440
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• 2003

The exchange of model design date among heterogeneous CAD systems is a difficult task because each system has different data structures suitable for its own functions. STEP has been able to represent product information as a common computer-interpretable form that is required to remain complete and consistent when the product informant is needed to be exchanged among different computer system. However, STEP has difficult architecture in is representing point, line, curve and vectors of element, more over it can't represent geometry data of feature based models. In this study, a structure of XML document that represents geometry data of feature based models as neutral format has been developed. To use the developed XML document, a Converter has also been developed to exchange modules so that it can exchange feature based data models among heterogeneous CAD systems. Aa for evaluation of the developed XML document and Converter, Solidworks and SolidEdge are selected.

• 산경연구논집
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• 제12권5호
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• pp.47-58
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• 2021

Purpose - Current research aimed at exploring the effect differences between the two types of processing product information such as the imagining and the considering on psychological product ownership which could influence the intent to purchase or use the product, and focused on identifying the interaction effects of activated memory information type and advertising information type on each of the information processing types. Research design, data, and methodology - This study divided the information processing types into imagining and considering, and the consumer's memories were divided into autobiographical or episodic and semantic memory. The advertising information was approached in each of event information being together with the product and product feature information. At empirical study, 2(two types of memory activation: episodic and semantic memory activation) ∗ 2(two types of advertising information: event-focused and product feature-focused advertising information) between-subjects design was used to make four types of questionnaire according to the type of experimental groups. Through the survey platform, 'questionnaire stars' of 'WeChat' in China, 219 questionnaire data were collected for empirical study. The structural equation model in AMOS 26 and Anova were used to verify hypotheses. Results - First, the ownership affected the usage intent positively. Second, the imagining did not affect the psychological ownership but did directly affect the usage intention, and the considering affected the ownership positively. Third, the episodic memory activation positively influenced the imagining and negatively affected the considering, whereas the semantic memory activation positively influenced the considering and negatively affected the imagining. Fourth, event-advertising information increased the effects of the activated episodic memory on the imagining, and feature-advertising information increased the effects of the activated semantic memory on the considering. Conclusions - marketers should develop and advertise their product-related event message to trigger the imaging that directly increase the intent to purchase or use their product, when consumers are under the activation of their episodic memory. And marketers should advertise their product feature-related message to trigger the considering that could induce consumers' ownership for their product to increase the intent to purchase or use their product, when they are under the activation of their semantic memory.

• ETRI Journal
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• 제33권5호
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• pp.720-730
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• 2011

Opinion mining involves the analysis of customer opinions using product reviews and provides meaningful information including the polarity of the opinions. In opinion mining, feature extraction is important since the customers do not normally express their product opinions holistically but separately according to its individual features. However, previous research on feature-based opinion mining has not had good results due to drawbacks, such as selecting a feature considering only syntactical grammar information or treating features with similar meanings as different. To solve these problems, this paper proposes an enhanced feature extraction and refinement method called FEROM that effectively extracts correct features from review data by exploiting both grammatical properties and semantic characteristics of feature words and refines the features by recognizing and merging similar ones. A series of experiments performed on actual online review data demonstrated that FEROM is highly effective at extracting and refining features for analyzing customer review data and eventually contributes to accurate and functional opinion mining.

• 한국조리학회지
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• 제22권8호
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• pp.109-121
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• 2016

This study analyzed the effect of five sub-variables' attribute of HMR: features of information, diversity, promptness, price and convenience, on the consumer purchasing intention. In addition, the regulation effect of positive reviews and negative reviews of consumers' online reviews between HMR selection attribute and purchasing intention was also tested. Results are following. First, convenience feature (B=.577, p<.001) and diversity feature (B=.093, p<.01) among the effect of HMR selection attribute had a positive (+) effect on purchasing intention. On the other hand, promptness feature (B=.235, p<.001) and price feature (B=.161, p<.001), and information feature (B=.288, p<.001) were not significant effect on purchasing intention. Second, result of regulation effect of the positive reviews of consumer's online review between the selection attribute of the HMR product and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product is input as an independent variable, there was a significant positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In addition, there was significant positive (+) main effect (B=.472, p<.001) in the second step model in which the consumers' positive reviews, that is a regulation variable. Furthermore, the feature of price (B=.068, p<.05) had a significant positive (+) effect in the third stage in which the selection attribute of the HMR product that is an independent variable and the interaction of the positive review. However, the feature of information (B=-.063, p<.05) showed negative (-) effect, and there was no effect on the features of convenience, diversity, and promptness. Third, as a result of testing the regulation effect of the negative reviews of consumers' online reviews between HMR product selection attribute and consumers' purchasing intention, in the first-stage model in which the selection attribute of the HMR product was a positive (+) effect on all the features of convenience, diversity, promptness, price, and information. In the second-stage model in which consumers' negative reviews (B=-.113, p<.001) had negative (-) effect. In the third-stage in which the selection attribute of the HMR product and the interactions of the negative reviews was a positive (+) effect with the feature of price (B=.113, p<.01). Last, there was no effect at all on the features of convenience, promptness, and information.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 춘계학술발표대회
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• pp.269-272
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• 2006

현재 제품계열 공학에서 feature 중심의 공통성 및 가변성 분석을 통한 재사용성에 대한 연구가 활발히 이루어지고 있다. 지금까지는 도메인 전문가의 직관 및 경험에 의해 feature가 분석되어 그 개념의 불명확함으로 재사용 측면에서 제한점을 내포하고 있다. 본 논문에서는 개별 feature 속성 List 작성을 통해 feature간의 의미관계를 중심으로 한 Pattern 분석 방법을 제시하고, 의미 유사성 관계를 적용한 feature 온톨로지 그래프를 이용하여 S/W 제품계열 도메인 공학에서 사용자와 개발자간의 동일한 해석이 가능하고 재사용성을 위한 명시적 feature를 분석 및 추출하는 모델을 제안한다.