• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.592-600
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• 2004

A recommendation system, which is an application area of e-CRM in e-commerce environment, provides individualized goods recommendation service that meets the demand of individual users. In general, existing recommendation systems require extensive historic user information in application domains. However, the method of recommendation based on static historic user information needs to respond flexibly to users'demand that changes rapidly and sensitively over time and in domains including a variety of users. In addition, it is difficult to recommend for new users who are not fall into any of existing domains. To overcome such limitations and provide flexible recommendation service, this study designed and implemented CPAR (Customer Preference Analysis Recommender) system that supports customer preference analysis and filter management. The filtering management capacity of the present system eases the necessity of extensive information about new users. In addition, CPAR system was implemented in XML-based wireless Internet environment for recommendation service independent from platforms and not limited by time and place.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.9_10
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• pp.1060-1071
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• 2003

This study was intended to identify customer's response to CRM of fashion business.488 questionnaires were distributed to male and female respondents aged 16 to 55, and then analyzed by descriptive statistics, oneway-ANOVA, chi-square test, and factor analysis. As a result of customer information management, respondents evaluated taste, interest and demographic informations as most valuable. But they did not value personal and credit information. For CRM concept, 4 factors were determined: continuous care and suggestion, particular service to important customer, customer management program development, and customer convenience consideration. For CRM activity, 3 factors were determined: customization, information offering, and programmed service strategies. Respondents were having positive attitude toward CRM concept and activity of fashion business. Among customer loyalty programs, they affected by immediate and direct programs most. The preference of customer contact methods was differentiated by sex and age groups. Males and teenagers preferred e-mail, and females preferred catalog and telephone connection.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1073-1074
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• 2017

In this paper, we present a customer preference analysis system using the Bluetooth Low Energy technology. Compared to Classic Bluetooth, Bluetooth Low Energy provides considerably reduced power consumption, and cost, as well as some unique characteristics while maintaining a similar communication range. The customer preference analysis system collects nearby Bluetooth Low Energy devices using an Android mobile device via Bluetooth Low Energy. In addition, the system is capable of suggesting, and advertising products that are related to these Bluetooth Low Energy devices based on the name of their manufacturer. This feature aims to attract potential customers to purchase these products.

• Korean Journal of Community Nutrition
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• v.14 no.5
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• pp.545-555
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• 2009

School foodservice customers are likely to be tired of repeated cycle menus and their satisfaction for meals offered in school is inclined to be low. The menu variety is an important factor in increasing customer satisfaction. The purpose of this study was to investigate customer perspectives for applying rice based bread menus in order to add menu variety and promote using rice processed products in school foodservice. The questionnaire was distributed to 760 parent samples in elementary schools and 520 student samples in middle/high schools and a total of 665 and 387 usable data were collected, respectively. Food habits such as preference for cooking method, menu preference, food allergy and nutritional perspectives for menu and customer perception for rice based bread like quality, reliability, price, and purchasing convenience were investigated using 7 Likert scale. Also expected menu types applying rice based bread and offering frequency of rice bread menu were examined. Preference level for bread-based meals were moderate and students' preferences were slightly higher than parents. Menu types applying rice bread expected by middle/high school students were western food (49.4%), spaghetti (28.4%), set menu (13.7%), noodle (17.6%), Korean food (11.1%), Chinese food (10.9%) and porridge (4.5%). The most occupied rate was once in a week for expected offering frequency. Most respondents perceived that rice bread was more nutritive and qualitative than the wheat based one.

• Journal of Navigation and Port Research
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• v.28 no.3
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• pp.193-198
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• 2004

In this paper, we estimate the difference of port preference and attributed importance by diving subjects of the survey into internal and external shipping companies considered as the main customers of port. From the results of conjoint analysis, it is found that there are differences in preference between domestic shipping companies and foreign ones. The difference in port preference shows; foreign shipping companies mark Shanghai port in the first place in the preference of transshipment port, while domestic shipping companies prefer Busan port. Similar results are applied to preference of rolling port. The result of the survey means it is necessary to group shipping company, when port is analyzed, because the port preference is subject to wether internal or external shipping companies. Also, it implies target marketing strategies should continuously be needed in order to maintain Busan port's preference gaining advantage over other ports and major target would be shipping companies.

• Journal of Information Technology Services
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• v.8 no.2
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• pp.205-228
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• 2009

This paper examines how online product information changes the customers' purchase intentions from subjectivity-objectivity dichotomy perspective. Quality and Preference are proposed as product evaluation criteria and their marginal changes with product information differentiation are hypothesized. An experimental survey was conducted to 57 subjects and the hypotheses were partially supported through PLS path comparison method. The study contributes to IS research by proposing a simple and effective product evaluation framework and by abstracting the impact of product information from other factors. Finally, we suggest the utilization of product information with the optimization of the cost-benefit structure between information and purchase intention.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1481-1483
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• 1999

Power distribution system planning for maximum customer satisfaction and system efficiency requires accurate forecast of future demand in service area. Spatial load forecasting method provides a more accurate estimation of both magnitudes and location of future electrical load. This method considers the causes of load growth due to addition of customers and per capita consumption among customers by land use (residential, commercial and industrial). So the land-use study and it's preference for small area is quite important. This paper proposes land-use preference estimation method based on fuzzy logic. Fuzzy logic is applied to computing preference scores for each land-use and by these scores the customer growth is allocated in service area. An simulation example is used to illustrate the proposed method.

• ETRI Journal
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• v.37 no.2
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• pp.317-327
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• 2015

A reliable analysis of consumer preference from a large amount of purchase data acquired in real time and an accurate customer characterization technique are essential for successful direct marketing campaigns. In this study, an optimal segmentation of post office customers in Korea is performed using a subspace projection-based clustering method to generate an accurate customer characterization from a high-dimensional census dataset. Moreover, a traditional temporal mining method is extended to an algorithm using the MapReduce framework for a consumer preference analysis. The experimental results show that it is possible to use parallel mining through a MapReduce-based algorithm and that the execution time of the algorithm is faster than that of a traditional method.

• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.1-12
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• 2004

In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction （e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog）. The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

• The Journal of Information Systems
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• v.8 no.2
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• pp.91-110
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• 1999

Recently, searching agent systems to help purchase of products between business and customer have been actively studied in Electronic Commerce(EC). However, the most of comparative searching agent systems are only provided customers with searching results by the keyword-based search, and is not support the efficient decision models to be selected products considering the customer's requirements. This paper proposes the decision agent system applied decision model as well as searching functions based on the keyword-input to be selected useful products in EC. The proposed decision agent system is consist of the user interface, provider interface, decision model. Especially, as the example of the decision model, this paper is designed and implemented the prototype of decision agent system which is normalized the searching data and value of customer's preference weight as to each attribute, and orderly provided customers with computed results. This agent system is also carried out sensitive analysis according to the reflection ratio of the each attribute.