• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.131-138
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• 2005

Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Most of the existing recommender systems focused on what kind of items to recommend, although when to recommend to the target customer considering their context is an important issue. Even right item might be a spam advertisement or wrong recommendation for the customer if it can not be recommended at the right context. It is particularly important for recommendations where the user's context is changing rapidly, such as in both handheld and ubiquitous computing environment. Therefore, we propose CARS (Context-Aware Recommender System) based on CBR and context-awareness for ubiquitous computing environment. CBR is used to generate a target customer class and proper context. Context-awareness is used to gather suer context information from sensors, networks, device status, user profiles, and other sources. An illustrative case example is suggested to explain the procedure of CARS.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.8
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• pp.179-195
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• 1997

Today's hotel cannot be defined merely as a place of providing food and lodgin. It must be a high level cultural ground serving as a place of rest for the people and as a place of art, culture and communication for the local community. Although each hotel has its own distinctiveness it must share a unified services and product sales strategies with one another in order to raise each other's sales values. The service is evaluated on the basis of the customer's own living standard and social class. There ought to be variety of personal and material services taking the sophistication and complexity of the customer's needs into onsideration. More effective marketing strategy is called for upon knowing such sales strategy and service marketing of the hotel management. Hotel's food marketing must take into consideration the product's simulaneous and vanishing qualities, its dependency upon ordering and its relationship to human services industries. Methods of increasing profit and customer satisfaction management need to be made. Especially the changes in the customer's tourist mind set and eat-out behavior play as important variabls, and the management needs to be reflexive enough to respond quickly to those changes.

• Journal of the Korean housing association
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• v.20 no.2
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• pp.87-99
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• 2009

The brand is getting more important purchase factor in apartment market, so domestic construction companies have tried to differentiate it from others by creating the unique brand image. The purpose of this study was to investigate consistency of apartment brand image as a process which includes publicity, design and customer service and to analyze how using intergrated brand image affects brand preference and purchasing intention. To examine hypotheses, an empirical study using a survey questionnaire for residents living in 4 different brand apartments in Dongtan, Hwasung city was conducted. The collected data were treated with the SPSS Win Program 14.0. The study indicates that residents living in brand apartment generally preferred natural friendly image, high-class image and modern image to the others. And at first apartment brand images were created with image advertising on TV, catalog for sale and model house tour, but residents have most needs for customer service reflected in brand images. The study also has found that brand images in each process including publicity, design and customer service were not intergrated. However brand image intergration had positive effects on residential satisfaction and customer loyalty. The results of the study are expected to become the useful data in developing sustainable apartment brands and building effective marketing strategy of construction companies.

• The Journal of Engineering Research
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• v.3 no.1
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• pp.85-95
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• 1998

In this study, we consider a recursive procedure to obtain the stationary probability distribution for analyzing Coxian queueing networks with finite queues. This network deals with multiple class customers. Due to the state space representing multiple class customers, the sub-matrices corresponding to states can not be square matrices and can not be inverted. Therefore, we introduce more complex recursive method to avoid the singular problem. The open queueing network that we study consists of 3 parallel first-level sources linked to a single second level queue. We consider two types of schemes for entering a queue. The first scheme is assumed to be the first-blocked-first-enter (FBFE) and the second scheme is the higher-priority-first-enter (HPFE). Arrival and service times are assume to have a Coxian distribution with two phases. Comparison between the resulting using Gauss-Seidel method and recursive procedure will be shown.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.26-30
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• 2008

Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in long duration load profiles. The proposed our approach consists of three stages: (i) data pre-processing: noise or outlier is removed and the continuous attribute-valued features are transformed to discrete values, (ii) cluster analysis: k-means clustering is used to create load pattern classes and the representative load profiles for each class and (iii) classification: we evaluated several supervised learning methods in order to select a suitable prediction method. According to the proposed methodology, power load measured from AMR (automatic meter reading) system, as well as customer indexes, were used as inputs for clustering. The output of clustering was the classification of representative load profiles (or classes). In order to evaluate the result of forecasting load patterns, the several classification methods were applied on a set of high voltage customers of the Korea power system and derived class labels from clustering and other features are used as input to produce classifiers. Lastly, the result of our experiments was presented.

• The International Journal of Costume Culture
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• v.12 no.1
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• pp.52-70
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• 2009

Department store has actively expanded cultural center services by providing a series of educational courses in order to increase customer visits, enhance customer satisfaction, and ultimately increase sales. In this study, cultural center members' shopping behaviors and image building of the department store were explored through focus group interviews. Results generated from a total of 7 focus group interviews with female cultural center members in their 30's through 60's are as follows. First, the consumer group who attends courses for their own purpose is 45 to 55 year-old female customers who are actively involved in consumption at the department store for their own clothing, food and restaurant. They are not often engaged in impulsive either group shopping for clothing. They are satisfied with class quality compared to low tuition whereas dissatisfied with busy schedule of a lecture room and lack of special discount benefits for members. Second, the other consumer group who attends courses for their children is consumers in their 30's. They are charged in shopping for clothing for their husbands, children, and themselves. They are suffering time poverty due to nurturing their children, therefore, they want to shop more in the department store on the day of class. However, expensive kids-care facilities are barriers to do it. Convenience, familiarity and center of culture are important images of the department store, developed through frequent visits of these customers. Eight implications for marketing strategies were generated based on study results.

• Journal of the Korean Society of Food Culture
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• v.23 no.5
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• pp.595-604
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• 2008

This study was conducted to evaluate the menu of a Japanese restaurant in a first class tourism hotel. The calculations used for the menu analysis were conducted using MS Excel 2003. Several previous studies have been conducted to analyze menus. For example, Pavesic used of the weighted contribution margins (WCM) and potential food cost (PFC%) to evaluate menus, while Kasavana & Smith used the mix margin (MM%) and unit contribution margin (CM) to evaluate menus. The menu engineering method focused on the customer's viewpoints, while the Cost/Margin analysis method considered the manager's viewpoints. The menus that need continuous keeping Kasavana & Smith (Star) and Pavesic (Standard) included 'Assorted sashimi with side dishes (big), 'Lunch box special', 'Tempura course', 'Broiled Spanish mackerel and side dishes', 'Shrimp tempura', 'Special sushi', 'Seafood Udong', 'Buckwheat noodles'. The results of this study should increase customer satisfaction and profits at the Japanese Restaurant.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1553-1558
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• 2004

With the opening of the KTX(Korean Train Express) in April 2004, Express Train service started in KNR(Korean National Railroad). Each KTX train consists of 18 passenger compartments in total, such as of 4 first class car and 14 standard class car. And 2 compartments of standard class are serviced as a unreserved seat only. The Unreserved seat system of the KTX is convenient to the customer who wants to take a train without making a reservation. This study was designed to analyze the unreserved seat system of the KTX which is currently used, and to investigate the necessary conditions for gaining in public favor by developing the system.

• Culinary science and hospitality research
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• v.19 no.4
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• pp.268-278
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• 2013

The purpose of this research is to examine the effects of selection attributes of medicinal food on customer satisfaction and purchase attitude in Jinju area. A survey was conducted to 300 people who live in Jinju area, and 252 completed copies of questionnaire was returned. Statistical package 'SPSS WIN 20.0' was used to analyze the sample data, and the result of the analysis is as follows. First, for the hypothesis, 'selection attributes of medicinal food have a significant effect on satisfaction,' food quality, health food and services have a significant effect on customer satisfaction. Second, customer satisfaction with medicinal food has a significant effect on revisit. Third, customer satisfaction leads to recommendation to others. In conclusion, this research shows that medicinal food restaurants in Jinju area should provide healthy food menu, high-quality food and high-class services, which could be effective to promote the specialty of medicinal food restaurants for costumers.

• International Journal of Reliability and Applications
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• v.2 no.3
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• pp.161-187
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• 2001

Starting with the meaning of the word quality, diverse concepts connoted by the term are examined. Instead of a bathtub curve, the desirable shape of a failure rate covering the entire life of a good product, which might be called hockey-stick line, is introduced. From the hockey-stick line and the definition of reliability, two measurements are extracted. The terms reliability, failure rate, product life, and durability are explained. From the customer's standpoint, the concept of product quality is classified in five factors, according to related technology: performance, reliability, conformance to specifications, customer perception, and fundamentals advantage. The correlation of the five factors for a first-class product is discussed, Since the market share of a company is determined as the competition result of its product value, defined as product quality and price, the market share increase is derived mathematically from the increment of product value. The market share increase, $\Delta$S, can be calculated from the present market share, S, and the oriented relative value increment of new product, R, to the current product in the same company for the same market target: $\Delta$S : $\Delta$(1-S). R/(1+S.R). Finally, the importance of separating warranty cost from the profit equation for the durables is explained.