• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.132-140
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• 2006

As a competition of the internet shopping mall is getting worse, the manager of the internet shopping mall has to know about the internet shoppers. To know about the internet shoppers is an important and difficult task. Accordingly, this paper is designed to take a look at the direction and the patterns of the development of new products as well as changes in the needs of clients in the concepts of client-satisfaction administration executed in the administration of enterprises. In order to outlive from these economic situation and struggle for existence, we are in need of detailed strategies and service for only a customer, and differential goods from other items. The purpose of this study was to review the gap between the progress of individualization and consumrirs' expectations on the Internet shopping malls centering around the apparel shopping malls - which are most obliged to satisfy the consumers who are extremely individualized - and thereupon, explore the directions for development of on-line shopping mall designs.

• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.91-125
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• 2006

Recent advancements in information technology and the Internet have caused an explosive increase in the information available and the means to distribute it. However, such information overflow has made the efficient and accurate search of information a difficulty for most users. To solve this problem, an information retrieval and filtering system was developed as an important tool for users. Libraries and information centers have been in the forefront to provide customized services to satisfy the user's information needs under the changing information environment of today. The aim of this study is to propose an efficient information service for libraries and information centers to provide a personalized recommendation system to the user. The proposed method overcomes the weaknesses of existing systems, by providing a personalized hybrid recommendation method for multimedia contents that works in a large-scaled data and user environment. The system based on the proposed hybrid method uses an effective framework to combine Association Rule with Collaborative Filtering Method.

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1417-1426
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• 2004

As Ubiquitous commerce is coming personalization service is getting interested. And also the recommendation method which offers useful information to customer becomes more important. However, most of them depend on specific method and are restricted to the E-commerce. For applying these recommendation methods into U-commerce, first it is necessary that the extended context modeling and systematic connection of the methods to complement strength and weakness of recommendation methods in each commercial transaction. Therefore, we propose a mod-eling technique of context information related to personal activation in commercial transaction and show incremental preference analysis method, using preference tree which is closely connected to recommendation method in each step. And also, we use an XML indexing technique to effi-ciently extract the recommendation information from a preference tree.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.587-600
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• 2011

This study presents the strategic directions for Korean multi-brand fashion stores by running in-depth industry research and market analysis. Over 20 professionals were selected from Korean multi-brand fashion stores for this study and in-depth interviews were conducted to evaluate related subjects. The results of the study were as follows. First, Korean multi-brand fashion stores could be classified into three criteria: operating ownership, merchandise mix, and store identity. Second, operating ownership criterion was chosen for further investigations of strategies and directions of the multi-brand fashion stores. The operating ownership criterion consists of three types; department store types, specialty store types, and boutique types. Each type deploys different buying practice, organizational strategies, and distribution channels. Lastly, the suggested strategic directions for each type are summarized as follows. The 'department store type' should utilize its strong direct buying capabilities and acquisition of merchandising can be more effectively managed. The store should utilize its strong buying power as a tool to develop new private brands (PBs). For 'specialty store type', two key factors have been derived: market share expansion and positioning themselves to become a new distribution channel. To respond to these factors, the store needs to be perceived as a brand then diversify its business. Strengthening its brand will allow it to expand into a new distribution channel and also enable a strategic partnership with its competitor brands. The factors influencing 'boutique type' is personalization and uniqueness. With an emphasis on the uniqueness of products and merchandising it will be able to implement the role as a personal shopper and stylist to provide a very personalized service to its customers.

• Journal of Educational Research in Mathematics
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• v.18 no.1
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• pp.25-50
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• 2008

Several previous studies suggested that simulation could be a main didactic instrument in overcoming misconception and probability modeling. However, they have not described enough how to reorganize probability knowledge as knowledge to be taught in a curriculum using simulation. The purpose of this study is to identify the theoretical knowledge needed in developing a didactic transposition method of probability knowledge using simulation. The theoretical knowledge needed to develop this method was specified as follows : pseudo-contextualization/pseudo-personalization, and pseudo-decontextualization/pseudo-deper-sonalization according to the introductory purposes of simulation. As a result, this study developed a local instruction theory and an hypothetical learning trajectory for overcoming misconceptions and modeling situations respectively. This study summed up educational intention, which was designed to transform probability knowledge into didactic according to the introductory purposes of simulation, into curriculum, lesson plans, and experimental teaching materials to present didactic ideas for new probability education programs in the high school probability curriculum.

• The KIPS Transactions:PartD
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• v.17D no.6
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• pp.453-462
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• 2010

The switch from analog to digital broadcast television is extended rapidly. The DTV can offer multiple programming choices, interactive capabilities and so on. Moreover, with the spread of Internet, the information exchange between the communities is increasing, too. These facts lead to the new TV service environment which can offer customized TV programs to personal/community users. This paper proposes a 'Customized Digital TV System for Individuals/Communities based on Data Stream Mining' which can analyze user's pattern of TV watching behavior. Due to the characteristics of TV program data stream and EPG(electronic program guide), the data stream mining methods are employed in the proposed system. When a user is watching DTV, the proposed system can control the surrounding circumstances as using the user behavior profiles. Furthermore, the channel recommendation system on the smart phone environment is proposed to utilize the profiles widely.

• Smart Media Journal
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• v.10 no.1
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• pp.116-123
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• 2021

Due to the rapid growth of the online fashion market and the resulting expansion of online choices, there is a problem that the seller cannot directly respond to a large number of consumers individually, although consumers are increasingly demanding for more personalized recommendation services. Images are being tagged as a way to meet consumer's personalization needs, but when people tagging, tagging is very subjective for each person, and artificial intelligence tagging has very limited words and does not meet the needs of users. To solve this problem, we designed an algorithm that recognizes the shape, attribute, and emotional information of the product included in the image with AI, and codes this information to represent all the information that the image has with a combination of codes. Through this algorithm, it became possible by acquiring a variety of information possessed by the image in real time, such as the sensibility of the fashion image and the TPO information expressed by the fashion image, which was not possible until now. Based on this information, it is possible to go beyond the stage of analyzing the tastes of consumers and make hyper-personalized clothing recommendations that combine the tastes of consumers with information about trends and TPOs.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.135-154
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• 2021

This paper compares and analyzes the domestic OTT services to access their success factors, strategies and examine the domestic OTT leader's wavve's unique differentiation strategy. It is a comparative study of the top five market share services based on the operator and content's key success factors criteria, revenue structure, personalization, interactive media and cooperation. As a result, the common success factors were contents that reflected the characteristics of the operators, hybrid VOD, hybrid filtering, real-time participation interaction, alliances between the same and heterogeneous industries, and utilization of existing business areas. In addition, the study confirmed that it expanded the scope of the project and operated the contents efficiently by introducing one or more business strategies. wavve has been widely validated with its content, while B2C has long-term benefits and overseas use services, and B2B has a systematic use system, differentiating itself from other services. This paper can be the foundation for identifying the strengths and differences of each service on 2021, entering the domestic OTT industry, and establishing competitive strategies.

• Iberoamérica
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• v.23 no.1
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• pp.1-31
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• 2021

The main purpose of this study is to examine the use of 'a gente' in Portuguese, and to discuss what to consider educationally. We examined the origin and style of 'a gente', grammaticalization process phase, personalization level, and variations in use in terms of linguistic and social aspects, and confirmed that 'a gente' is showing an increasingly high frequency of use in Brazil. And in order to find educational considerations, we observed how 'a gente' was handled in Portuguese textbooks for foreigners, and analyzed data obtained through interviews with three Korean students studying Portuguese in Brazil. Considering the importance and frequency of use of 'a gente', which is used in the third-person singular form, the section about 'a gente' in grammar and textbooks seems to be very insufficient. Therefore, the contents of textbooks that do not correspond to the actual use of language should be actively revised according to changes in the reality of language use. In addition, the instructor should not be bound by traditional use, but must include 'a gente' in the personal pronoun section of the textbook for efficient education, and actively reflect the more practical usage to educate.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.1-16
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• 2023

This study aimed to provide fundamental insights into the digital customer experience by identifying its components and analyzing their importance and satisfaction levels among youths. To achieve this objective, the components of digital customer experience were identified through a review of prior research and consultation with experts. Subsequently, a survey was conducted with 200 youths in Seoul and Gyeonggi-do. The main findings of the study are as follows: First, The components of the digital customer experience consisted of 12 items grouped into three categories. Second, an analysis of the disparity between the importance and satisfaction levels of digital customer experience revealed statistically significant differences across all items. Third, By utilizing IPA (Importance-Performance Analysis), the digital customer experience was categorized into four quadrant, each with its own characteristics and recommendations for management: The first quadrant, the "current level maintenance area," encompassed items related to "entertainment" and "recommended service." This area is currently functioning well but necessitates continuous attention and management. The second quadrant, the "area to be supported first," included items such as "personalization," "security," "inducing participation," "privacy," and "individuality expression." Intensive management and improvements are imperative in this quadrant. The third quadrant, the "long-term improvement area," consisted of items like 'consistency,' 'information quality,' and 'convenience.' These items require focus on long-term enhancement efforts. The fourth quadrant, the "areas where efforts have already been invested," encompassed items like 'accessibility' and 'deliberation.' It appears that excessive investment has been made in these areas relative to their importance, calling for selective investments while considering the specific issues associated with each factor. These research findings serve as essential data for managing the digital customer experiences of youths.