• 한국콘텐츠학회논문지
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• 제11권11호
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• pp.378-389
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• 2011

본 연구는 프랜차이즈 브랜드가 다양한 제품군으로 브랜드를 확장하는 상황에서 모브랜드 제품과 확장브랜드 제품간 유사성 차이를 살펴보고, 각 확장제품과 모브랜드 제품간 유사성이 확장브랜드에 대한 태도에 어떠한 영향을 미치는지 규명해 보고자 하였다. 연구결과, 제품간 유사성은 확장제품에 따라 다르게 나타났다. 또한, 유사성이 높은 제품과 낮은 제품간 인식적 태도 및 행동적 태도를 살펴 본 결과, 유사성이 높은 제품은 인식적 태도, 행동적 태도 모두 높게 나타났다. 한편, 음식속성 유사성이 기술적 유사성에 비해 태도에 미치는 영향이 높은 것으로 나타났다. 이러한 연구결과들은 프랜차이즈 브랜드의 브랜드확장전략에 있어서 중요한 시사점을 제시해 준다.

• 한국정밀공학회지
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• 제21권1호
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• pp.159-166
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• 2004

Custom-tailored products are meant by the products having various sizes and shapes to meet the customer's different tastes or needs. Thus fabrication of custom-tailored products inherently involves inefficiency. To minimize this inefficiency, a new paradigm is proposed in this work. In this paradigm, different parts are grouped together according to their sizes and shapes. Then, representative shape of each group is derived and it will be used as the work-piece from which the parts in the group are machined. Once a new product is ordered, the optimal work-piece is selected through making similarity comparisons of new product and each representative shape. Then an effective NC tool-path is generated to machine only the different portions between the work-piece and the ordered product. The efficient machining conditions are also derived from this shape difference. By machining only the different portions between the work-piece and the ordered product, it saves time. Similarity comparison starts with the determination of the closest pose between two shapes in consideration. The closest pose is derived by comparing the ray distances while one shape is virtually rotated with respect to the other. Shape similarity value and overall similarity value calculated from ray distances are used for grouping. A prototype system based on the proposed methodology has been implemented and applied to the grouping and machining of the shoe lasts of various shapes and sizes.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.70-73
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• 2003

Custom-tailored products are meant by the products having various sizes and shapes to meet the customer's different tastes or needs. Thus fabrication of custom-tailored products inherently involves inefficiency. To minimize this inefficiency, a new paradigm is proposed in this work. In this paradigm. different paris are grouped together according to their sizes and shapes. Then, representative shape of each group is derived and it will be used as the work-piece from which the parts in the group are machined. Once a new product is ordered, the optimal work-piece is selected through making similarity comparisons of new product and each representative shape. Then an effective NC tool-path is generated to machine only the different portions between the work-piece and the ordered product. The efficient machining conditions are also derived from this shape difference. By machining only the different portions between the work-piece and the ordered product, it saves time. Similarity comparison starts with the determination of the closest pose between two shapes in consideration. The closest pose is derived by comparing the ray distances while one shape is virtually rotated with respect to the other. Shape similarity value and overall similarity value calculated from ray distances are used for grouping. A prototype system based on the proposed methodology has been implemented and applied to the grouping and machining of the shoe lasts of various shapes and sizes.

• 한국컴퓨터정보학회논문지
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• 제27권12호
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• pp.59-68
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• 2022

본 논문은 주어진 현품 영상과 도면 영상의 유사도를 비교하여 1:1 검증을 위한 방법을 제시한 것으로, CNN(Convolutional Neural Network) 기반의 딥러닝 모델을 두 개로 결합하여 Siamese Net을 구성하고 현품 영상과 도면 영상(정면도, 좌우 측면도, 평면도 등)을 같은 제품이면 1로 다른 제품이면 0으로 학습하며, 추론은 현품 영상과 도면 영상을 쌍으로 질의하여 해당 쌍이 같은 제품인지 아닌지를 판별하는 딥러닝 모델을 제안한다. 현품 영상과 도면 영상과의 유사도가 문턱 값(Threshold: 0.5) 이상이면 동일한 제품이고, 문턱 값 미만이면 다른 제품이라고 판별한다. 본 연구에서는 질의 쌍으로 동일제품의 현품 영상과 도면 영상이 주어졌을 때(긍정 : 긍정) "동일제품"으로 판별할 정확도는 약 71.8%로 나타났고, 질의 쌍으로 다른 현품 영상과 도면 영상이 주어졌을 때(긍정: 부정) "다른제품"으로 판별할 정확도는 약 83.1%를 나타내었다. 향후 제안한 모델에 파라미터 최적화 연구를 접목하고 데이터 정제 등의 과정을 추가하여 현품 영상과 도면 영상의 매칭 정확도를 높이는 연구를 진행할 예정이다.

• 아동학회지
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• 제33권5호
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• pp.53-70
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• 2012

The purpose of this study was to investigate the effects of task conditions (physical similarity between the spatial product and the reference space, presentation place of the spatial product) on children's spatial representation. The participants consisted of 40 3-year-olds and 40 4-year-olds. The results of this study are as follows. Both 3-year-olds and 4-year-olds were capable of a greater degree of spatial representation when there was a high level of physical similarity between the spatial product and the reference space, and when the presentation place of the spatial product was in the reference space. 4-year-olds were capable of more accurate spatial representation than 3-year-olds. There was no significant difference in the children's spatial representation depending on the type of spatial product (scale model, map). The results revealed that the physical similarity between the spatial product and the reference space and the presentation place of the spatial product are essential in young children's spatial representation. Additionally, the results indicated that spatial representation of children develops gradually from when they are three to when they turn four.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.67-90
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• 2008

Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.107-123
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• 2021

In an online shopping site or offline store, products purchased by each customer over time form the purchase history of the customer. Also, in most retailers, products have a product taxonomy, which represents a hierarchical classification of products. Considering the product taxonomy, the lower the level of the category to which two products both belong, the more similar the two products. However, there has been little work on similarity measures for sequences considering a hierarchical classification of elements. In this paper, we propose new similarity measures for purchase histories considering not only the purchase order of products but also the hierarchical classification of products. Unlike the existing methods, where the similarity between two elements in sequences is only 0 or 1 depending on whether two elements are the same or not, the proposed method can assign any real number between 0 and 1 considering the hierarchical classification of elements. We apply this idea to extend three existing representative similarity measures for sequences. We also propose an efficient computation method for the proposed similarity measures. Through various experiments, we show that the proposed method can measure the similarity between purchase histories very effectively and efficiently.

• Journal of Computational Design and Engineering
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• 제3권3호
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• pp.274-285
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• 2016

A designer is mainly supported by two essential factors in design decisions. These two factors are intelligence and experience aiding the designer by predicting the interconnection between the required design parameters. Through classification of product data and similarity recognition between new and existing designs, it is partially possible to replace the required experience for an inexperienced designer. Given this context, the current paper addresses a framework for recognition and flexible retrieval of similar models in product design. The idea is to establish an infrastructure for transferring design as well as the required PLM (Product Lifecycle Management) know-how to the design phase of product development in order to reduce the design time. Furthermore, such a method can be applied as a brainstorming method for a new and creative product development as well. The proposed framework has been tested and benchmarked while showing promising results.

• 한국의류학회지
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• 제33권10호
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• pp.1622-1632
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• 2009

This study investigates the influence of the innovativeness of consumers on extended products in brand extensions. 300 surveys were distributed and 283 were used in the final analysis. The results of this study show that consumers evaluate similar product category (i.e., sportswear) better than a dissimilar category (i.e., cosmetics) in brand extension. In addition, innovative consumers evaluated extended product better regardless of similarity with the original brand. The results showed that consumers with higher level of innovativeness were less likely to evaluate differently between a similar product and dissimilar product categories in apparel brand extension.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권9호
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• pp.363-372
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• 2019

시퀀스란 두 항목 간의 순서가 존재하는 데이터를 말하며, 고객 한 명이 구매한 상품들이 나열된 구매이력 데이터는 대표적인 시퀀스 데이터 중 하나이다. 일반적으로 모든 상품은 대분류/ 중분류/ 소분류와 같은 상품 분류 체계를 가지며, 서로 다른 상품이더라도 비슷하다면 그 특성에 따라 동일한 범주로 분류된다. 따라서 본 논문에서는 두 구매이력 시퀀스 비교 시 상품의 구매 순서를 고려할 뿐만 아니라, 비교하고자 하는 두 상품이 다르더라도 서로 동일한 상품 군에 속한다면 더 높은 유사도를 부여하여 계산한다. 특히 구매이력 시퀀스 유사도 계산 성능에 직접적인 영향을 미치는 시퀀스 유사도 측정 방법을 선택하기 위해 본 연구에서는 대표적인 시퀀스 간 유사도 측정 방법인 레벤슈타인 거리, 동적 타임 워핑 거리, 니들만-브니쉬 유사도의 성능을 비교하였으며, 항목간의 계층구조도 반영하여 계산하도록 확장하였다. 기존의 유사도 측정 방법의 경우 시퀀스 내 상품 비교 시 상품의 일치 유무에 따라 단순히 0 또는 1의 값을 부여하여 계산한다. 하지만 제안 방법의 경우 서로 다른 상품이더라도 두 상품 간의 연관정도를 다르게 부여하기 위하여 상품 분류 트리를 사용하여 0에서 1 사이의 값을 가지도록 세분화하였다. 실험을 통해 세 알고리즘에 제안 방법을 적용한 경우 기존 방법에 비하여 구매이력 시퀀스 간의 유사도를 더 정확히 측정함을 확인하였다. 또한 정확성 측정 비교 실험을 통해 동적 타임 워핑 유사도가 다른 두 유사도 측정 방법에 비하여 시퀀스 내 상품의 연관 정도를 고려할 뿐만 아니라 두 시퀀스의 길이가 다른 경우에도 좋은 성능을 보였기 때문에 구매이력 데이터에서 시퀀스 간의 유사도 비교 시 가장 적합한 측정 방법임을 확인하였다.