• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.185-190
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• 2006

Most systems in ubiquitous computing analyze context information of users which have similar propensity with demographics methods and collaborative filtering to provide personalized recommendation services. The systems have mostly used static context information such as sex, age, job, and purchase history. However the systems have limitation to analyze users' propensity accurately and to provide personalized recommendation services in real-time, because they have difficulty in considering users situation as moving path. In this paper we use users' moving path of dynamic context to consider users situation. For the prediction accuracy we complete with a path completion algorithm to moving path which is inputted to RSOM. We train the moving path to be completed by RSOM, analyze users' moving pattern and predict a future moving path. Then we recommend the nearest product on the prediction path with users' high preference in real-time. As the experimental result, MAE is lower than 0.5 averagely and we confirmed our method can predict users moving path correctly.

• Korean Institute of Interior Design Journal
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• v.18 no.1
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• pp.54-63
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• 2009

The present study is a basic research for promoting the globalization of Korean food, aiming to analyze Japanese restaurants in Hong Kong, an international city successful in globalization, focused on their spatial characteristics and food related characteristics and to use the results as basic materials. The results of this study are as follows. As to the characteristics of indoor spaces and food of Japanese restaurants in Hong Kong, first, the locations of Japanese restaurants were mostly easily accessible luxury hotels, office buildings or shopping malls. They displayed Japanese styles well and used conspicuous signs. Their trade names were given after traditional place names, food names, greetings, etc. Second, the spaces of Japanese restaurants expressed contemporary and, at the same time, traditional styles moderately and elegantly by applying emphatic articles such as traditional furniture, tools and folk paintings to contemporary spaces with traditional air, and by doing so, they showed various possibilities. Third, as to the characteristics of food culture, menus were diversified from traditional menus such as kaiseki to everyday menus such as vinegared rice, ramen, skewered roast meat and fusion dish, and at the same time, differentiated by concept. In addition, some restaurants succeeded in globalization and modernization with chains throughout the world. Furthermore, while table setting, food dishing and tableware image were harmonized with the concept of the restaurant space, if tradition needed to be displayed it was used at a minimum, showing the Japanese aesthetic sense through the restaurant space and food. In globalizing Korean restaurants based on the results of this study, we need to link trade name, facade, sign, menu and space with served food, and to plan a consistent story so that Korean culture and images are expressed. In addition, if a manual is made by benchmarking the Japanese government's support policies and relevant businesses' efforts and ideas and provided to Korean restaurants, it will be helpful for Korean restaurants, which spread Korean food culture, to be more competitive and graceful.

• Journal of the Korea Computer Industry Society
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• v.2 no.7
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• pp.945-952
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• 2001

In consequence of expansion of internet users, electronic commerce is becoming a new prototype for marketing and sales, arid most of electronic commerce sites or internet shopping malls provide a rich source of information and convenient user interfaces about the organizations customers to maintain their patrons. One of the convenient interfaces for users is service to recommend products. To do this, they must exploit methods to extract and analysis specific patterns from purchasing information, behavior and market basket about customers. The methods are association rules and sequential patterns, which are widely used to extract correlation among products, and in most of on-line electronic commerce sites are executed with users information and purchased history by category-oriented. But these can't represent the diverse correlation among products and also hardly reflect users' buying patterns precisely, since the results are simple set of relations for single purchased pattern. In this paper, we propose an efficient mining technique, which allows for multiple purchased patterns that are category-independent and have relationship among items in the linked structure of single pattern items.

• Journal of Fashion Business
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• v.25 no.2
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• pp.63-79
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• 2021

In order to expand the overseas market of the Korean fashion industry, it is necessary to investigate the fashion-related purchases and fashion consciousness of Muslim women, who are increasingly attracting attention as global fashion consumers. Therefore a survey was conducted to identify the fashion design preferences and fashion consciousness of Malaysian Muslim women. A total of 245 responses were collected and analyzed. The survey included questions on demographic characteristics, fashion product purchases, design preferences and environmental awareness. The data were analyzed through frequency, average and standard deviation. The analysis showed that the majority of respondents were young Malaysian Muslim women in their 20s and 30s. They preferred a modern, Sophisticated, and sporty image, and their preference for unpatterned fabrics was high. When choosing fashion products, these women seek to both pursue fashion trends and comply with Islamic laws. When the women buy clothes, they consider practicality and design elements. The women also collected fashion trend information through SNS and the Internet, and ues this information to purchase fashion products through the Internet and shopping malls. This study was based on a practical survey of local consumers. Therefore, it is expected that the results can be used as data for fashion-related studies and to expand overseas markets to reach Muslim women in Southeast Asia.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.145-157
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• 2018

The social curation service that selectively provides information generated by individuals or groups with the same interests can have a synergistic effect when combined with the recently used SNS-based chatting function. If these kinds of chatting-based curation technologies are applied to the Internet shopping malls, particularly, buyers can obtain more reliable information in real time basis, and sellers can provide them with more differentiated and rich information in a continuous manner. This research suggests a chatting-based commerce platform that provides the social curation service based on chats among sellers, existing buyers, and potential buyers. The proposed commerce platform can organize a chat channel for each store and product not only to immediately respond to new and existing customer inquiries about stores, brands, and detailed products, but also to continuously activate differentiated sales strategies to customers subscribed to the channel. In particular, MongoDB is used to permanently save and archive the information and chatting history of each channel, so that the buyer can search and refer to them recorded in the corresponding channel at any time.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.146-151
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• 2019

In this paper, we developed a multi-view video content based on real-world technology and a pilot using the production technology, and provided realistic contents production technology that can select a desired direction at a user 's view point by providing users with various viewpoint images. We also created multi-view video contents that can indirectly experience local cultural tourism resources and produced cyber tour contents based on multi-view video (realistic technology). This technology development can be used to create 3D interactive real-world contents that are used in all public education fields such as libraries, kindergartens, elementary schools, middle schools, elderly universities, housewives classrooms, lifelong education centers, The domestic VR market is still in it's infancy, and it's expected to develop in combination with the 3D market related to games and shopping malls. As the domestic educational trend and the demand for social public education system are growing, it is expected to increase gradually.

• The Research Journal of the Costume Culture
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• v.26 no.6
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• pp.1015-1027
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• 2018

In the retail environment where online-shopping malls are growing, offline store are find it difficult to survive simply by selling their products. As a result, offline retailers are trying to find unique services that are appealing to their customers. In such a market environment, marketing strategies that stimulate the five senses other than the sight can be an alternative. Therefore, this research is aimed at observing the effect of the senses on emotion and purchase intention in a fashion retail context. A two by two experimental design (existence vs non-existence of scent x existence vs. nonexistence of eating chocolate) between subjects was used. A total of 120 participants were randomly assigned to the four situations, and they were asked to complete the questionnaires about emotion and purchase intention. The survey data were statistically analyzed using SPSS 23.0, and results are as follows. After a two-way ANOVA, we observed a statistically significant effect of the scent service on pleasure and purchase intention the sweet offering service on purchase intention. Moreover, when scents service and sweet offering service were provided at the same time, the highest purchase intention was obtained among other services. In addition, we studied the effects of emotions on purchase intentions, and the pleasant emotions resulting from the services have a positive effect of on purchase intentions.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.909-923
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• 2018

Online retailers' offline channel expansion is rapidly growing as an important consumer incentive strategy, despite the enormous initial costs of establishing a store. This study focuses on the offline channel operation of online shopping malls, and examines the effects and influencing factors of the channel expansion strategy from a consumer perspective. In-depth interviews were conducted with ten customers in their 20s and 30s who had visited online retailers' stores or purchased products. Major issues were extracted based on the framework of a channel effect mechanism proposed by Cao and Li (2015). Subsequently, it was found that existing online retailers could enhance brand image and perception by expanding their channels to offline stores. It was also emphasized that the consumer trust on the quality of the product in offline stores is a key variable, and it has a significant influence on consumer's continuous purchase and revisit intention. This study showed that borderless channel integration was the most important task when expanding channels of online retailers. So it will be necessary to strive for an omni-channel strategy so that channel integration can be strategically executed and consumers can interact regardless of channels.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.17-25
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• 2021

When a person wears clothing, it is important to configure an outfit appropriate to the intended occasion. Therefore, T.P.O(Time, Place, Occasion) of the outfit is considered in various fashion recommendation systems based on artificial intelligence. However, there are few studies that directly infer the T.P.O from outfit images, as the nature of the problem causes multi-label and class imbalance problems, which makes model training challenging. Therefore, in this study, we propose a model that can infer the T.P.O of outfit images by employing a label-distribution-aware margin(LDAM) loss function. Datasets for the model training and evaluation were collected from fashion shopping malls. As a result of measuring performance, it was confirmed that the proposed model showed balanced performance in all T.P.O classes compared to baselines.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.99-106
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• 2021

This study examined whether relationship marketing activities affected relationship satisfaction and ultimately relationship continuity intention for 180 online store users. As a result of hypothesis test through path analysis, it was found that financial activities and structural activities such as delivery services in shopping malls had a positive effect on relationship satisfaction. In particular, it was found that the influence of structural activities was greater. This suggests that fast delivery or easy-to-search traffic is more meaningful to relationship satisfaction than economic benefits. At the significance level p<0.05, it was found that social activities did not have a significant effect on relationship satisfaction. Because it is not easy to develop social bonds between salespeople and customers at online stores, but the direction is considered positive. Therefore, if online stores can form social bonds with customers, this will have a positive effect on relationship satisfaction, but it is expected that this will become a factor that can differentiate them from competitors.