• Journal of Korea Multimedia Society
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• v.9 no.2
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• pp.151-159
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• 2006

The ratio of a segmentation algorithm of compound nouns causes an effect a lot in nouns which are not in the dictionary. The structure of Korean compound nouns are mostly derived from the Chinese characters and it includes some preference ratio. So it will be able to use segmentation rule of compound nouns. This paper suggests a segmentation algorithm using some preference ratio of Korean compound nouns which are not in the dictionary. The experiment resulted in getting 88.49% of correct segmentation and showed effective result from the comparative experimentation with other algorithm.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.187-196
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• 2000

A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

• Journal of Korea Multimedia Society
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• v.7 no.3
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• pp.418-426
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• 2004

This paper suggests a reverse segmentation Algorithm using affix information and some preference pattern information of Korean compound nouns. The structure of Korean compound nouns are mostly derived from the Chinese characters and it includes some preference patterns, which are going to be utilized as a segmentation rule in this paper. To evaluate the accuracy of the proposed algorithm, an experiment was performed with 36061 compound nouns. The experiment resulted in getting 99.3% of correct segmentation and showed excellent satisfactory result from the comparative experimentation with other algorithm, especially most of the four or five-syllable compound nouns were successfully segmented without fail.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.3
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• pp.306-310
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• 2004

This paper suggests a reverse segmentation algorithm using affix information and some preference pattern information of Korean compound nouns. The structure of Korean compound nouns is mostly derived from Chinese characters, and it includes some preference patterns utilized as a segmentation rule in this paper. To evaluate the accuracy of the proposed algorithm, an experiment was performed with 36,061 compound nouns. The experiment resulted in getting 99.3% of correct segmentation and showed excellent satisfactory results from the comparative experimentation with other algorithms. Especially, most of the four-syllable or five-syllable compound nouns were successfully segmented without fail.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.10
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• pp.1611-1620
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• 2010

This research compares the difference of each preference segments' subjective hands and sensibilities in order to analyze the correlations among preference, subjective hands, and sensibilities. Preference segments were classified into wool, acrylic, and long stitch length-preferred clusters in previous research. To evaluate the subjective hands and sensibilities of knit fabrics, the 20's and 30's women rated twelve knit fabrics by touching, using a questionnaire with a seven-point semantic differential scale. These twelve knit fabrics were differentiated by controlling the mixture ratio and stitch length using a computer-controlled automatic flat knit machine. The difference of each preference segments' subjective hands and sensibilities was determined using the conjoint analysis. The clusters perceived the subjective hands and sensibilities differently according to preferred constituent characteristics. There was no correlation between surface unevenness and preference in wool-preferred cluster, while there were negative correlations in other clusters. The acrylic-preferred cluster had a preference in coolness compared to other clusters; in addition, the long stitch-preferred cluster preferred flexibility/bulkiness and extensibility than the others. All clusters preferred modem and natural sensibilities that were caused by different constituent characteristics of knit fabrics.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.93-106
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• 2011

The purposes of this study were to segment female consumers on the basis of their clothing image preference, and to investigate the clothing purchasing behaviors of each segmented market. The research method was a questionnaire survey and participants were 700 women aged from 20's to 60's in Daejeon and Chungnam province. The questionnaire consisted of items for clothing image preference, clothing purchasing behaviors and the participants' demographic characteristics. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, ${\chi}^2$ test, ANOVA and the Scheff$\'{e}$ test. The results were as follows. Female consumers were divided into 7 types(sophisticated, natural, characteristic, elegant, active, feminine, and neat type) by clothing image preference. The 7 segmented market groups differed in many ways in terms of demographic characteristics and various clothing purchasing behaviors(clothing selection criteria, purchasing motives, fashion information sources, places of purchase, shopping frequency, and quantity and cost of purchases). The results of this study supported the view that clothing image preference can be a useful and effective variable for female market segmentation.

• Korea Journal of Hospital Management
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• v.10 no.4
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• pp.75-97
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• 2005

The research objective is to empirically investigate the compensation packages maximizing the utilities of internal customers by applying the market segmentation theory. Data was collected from four Korean hospitals in Seoul, Busan and Gyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors by mixture regression model, which has been applied as latent structure and other type of finite mixture models from various academic fields since early 1980s. The mixture regression model shows the optimal segments number and fuzzy classification for each observation by EM(expectation-maximization algorism). The finite mixture regression model is to unmix the sample, to identify the groups, and to estimate the parameters of the density function underlying the observed data within each group. The doctors were segmented into 5 groups by their preference for the compensation package. The results of this study imply that the utility of doctors increases with differentiated compensation package segmented by their preference.

• The Korean Journal of Community Living Science
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• v.21 no.2
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• pp.163-177
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• 2010

The purpose of this study is to examine the difference between service quality satisfactions according to tourists' preference and segmentation by various motivations. Data were collected from 442 farm stay visitors by field surveys in rural areas. A factor-clustering method identified three distinct segments; want-it-all, overall low motivation, relaxation. MANOVA was used to examine the differences of service quality satisfaction for farm stay visitors' preference and segmentation by motivation. Results show that the type of guest room more significantly influenced farm stay visitors' satisfaction according to those three clusters. It should be noted that we have information on the characteristics and type of satisfaction of the consumers in order to improve the quality of farmstay's service in rural tourism.

• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.90-108
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• 2001

This research examines the compensation package maximizing the utilities of internal customers by applying the market segmentation theory. Data were collected from four Korean hospitals in Seoul, Pusan and Kyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors and nurses by applying the market segmentation theory. The compensation package for doctors and nurses was classified into 5 attributes which are level of salary, payment method, education, promotion, reward method. The test results were as follows. First, the relative importance of each attribute in the compensation package is different. The level of salary is the most important, reward method is the next. Second, the utility of doctors increases by 8.7%, when they are segmented on the basis. of their preference for compensation attributes while that of nurses increases by 39.8%. The results of this study imply that the utility of doctors and nurses increases with differentiated compensation package for internal customer segmented by their preference.

• Journal of Korea Multimedia Society
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• v.24 no.7
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• pp.966-978
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• 2021

This thesis provided basic data of the domestic leggings industry. For the purpose of comparative analysis, the sales status and consumer preference status of domestic leggings brands were selected, and the three companies, X*xymix, A*dar, and M*laware, which occupy the top positions by domestic leggings brand rankings Therefore, from 2018 to 2020, the market size of leggings items is identified with reference to the sales status and consumer preference status data, and the status of consumer preference is analyzed. As a result of the survey analysis, X*xymix, A*dar, and M*laware, which rank high in consumer preference, operate a separate men's leggings line from leggings targeting young women who mainly focus on yoga, pilates, and fitness exercises. As the age increased, the demand for leggings expanded to the middle-aged. Therefore, it is believed that the segmentation of leggings is made according to the diversifying types of exercise, and as the age group in demand for leggings is expanded, continuous research on market segmentation for aqua leggings necessary for aqua exercise that can exercise without straining the body.