• Nutrition Research and Practice
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• v.6 no.3
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• pp.238-245
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• 2012

This study investigated the preference and intake frequency of a list of 15 commonly available high sodium Malaysian foods/dishes, dis cretionary salt use, and their possible association with demographics, blood pressures and anthropometric measurements among 300 Malaysian university students (114 males, 186 females; 259 ethnic Chinese, 41 Indians; 220 lean, 80 overweight). French fries and instant soup noodle were found to be the most preferred and most frequently consumed salty food, respectively, while salted fish was least preferred and least frequently consumed. Males had a significantly higher intake frequency of at least 6 of the salty foods, but the preference of most salty foods was not significantly different between genders. Ethnic Chinese significantly preferred more and took more frequently traditional and conventional Malaysian foods like asam laksa (a Malaysian salty-sour-spicy noodle in fish stock), salted biscuits and salted vegetable, while Indians have more affinity and frequency towards eating salty Western foods. Body Mass Index was significantly negatively correlated with the intake frequency of canned/packet soup and salted fish while waist circumference was significantly positively correlated with the preference of instant noodle. Also, an increased preference of potato chips and intake frequency of salted biscuits seemed to lead to a decreased WHR. Other than these, all the other overweight/obesity indicators did not seem to fully correlate with the salty food preference and intake frequency. Nevertheless, the preference and intake frequency of asam laksa seemed to be significant negative predictors for blood pressures. Finally, increased preference and intake frequency of high sodium shrimp paste (belacan)-based foods like asam laksa and belacan fried rice seemed to discourage discretionary salt use. In conclusion, the preference and intake frequency of the high sodium belacan-based dish asam laksa seems to be a good predictor for ethnic difference, discretionary salt use and blood pressures.

• ETRI Journal
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• v.26 no.2
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• pp.136-148
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• 2004

It is expected that an intelligent broadcasting service (IBS) will be able to provide broadcast programs based on user preference and program-associated information (metadata) in order to assist users in easy navigation of the program content being broadcast. In this way, users will be able to access program content anytime, anywhere, and in the manner they wish. This type of IBS will be a basis for future broadcasting services such as customized broadcasting or personal casting. In this paper, we introduce an agent-based multimedia broadcasting framework using the Foundation for Intelligent Physical Agents (FIPA) and MPEG-7 technologies within MPEG-21. We use a FIPA implementation called FIPA open source as a platform for exchanging user preferences and program information as FIPA messages between a server and its clients. The user preference is modeled as the User Preference description scheme in MPEG-7 multimedia description schemes. We discuss a framework structure and implementation for the IBS.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.1
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• pp.64-69
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• 2013

In ubiquitous computing, shared environments adjust themselves so that all users in the environments are satisfied as possible. Inevitably, some of users sacrifice their satisfactions while the shared environments maximize the sum of all users' satisfactions. In our previous work, we have proposed social welfare functions to avoid a situation which some users in the system face the worst setting of environments. In this work, we consider a more direct approach which is a preference based clustering to handle this issue. In this approach, first, we categorize all users into several subgroups in which users have similar tastes to environmental parameters based on their preference information. Second, we assign the subgroups into different time or space of the shared environments. Finally, each shared environments can be adjusted to maximize satisfactions of each subgroup and consequently the optimal of overall system can be achieved. We demonstrate the effectiveness of our approach with a numerical analysis.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.343-349
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• 2009

In this paper, it would be shown that individuals can have different responses to the same email based on their preferences through computing the distributions of user clusters' email responses from clustering results based on email users' preference information. This paper presents an approach that incorporates user preferences to construct an anti-spam mail system, which is different from the conventional content-based ones. We consider email category information derived from the email content as well as user preference information. We also build a user preference ontology to formally represent the important concepts and rules derived from a data mining process and then apply a rule optimization procedure to exclude unnecessary rules. Experimental results show that our user preference based system achieves good performance in terms of accuracy, the rules derived from the system and human comprehensibility.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.717-726
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• 2006

This study is to investigate the MAE of prediction value by collaborative filtering algorithm originated by GroupLens and improved algorithm. To decrease the MAE on the collaborative recommender system on user based, this research proposes the improved algorithm, which reduces the possibility of over estimation of active user's preference mean collaboratively using other user’s preference mean. The result shows the MAE of prediction by improved algorithm is better than original algorithm, so the active user's preference mean used in prediction formula is possibly over estimated.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.271-277
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• 2013

Typical semantic search query for Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. Existing keyword-based retrieval system is Preference for the semantic interpretation of a user's query is not the meaning of the user keywords of interconnect, you can not search. In this paper, we propose a method that can provide accurate results to meet the user's search intent to user preference based evaluation by ranking search. The proposed scheme is Integrated ontology-based knowledge base built on the formal structure of the semantic interpretation process based on ontology knowledge base system.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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• pp.205-214
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• 2012

This study investigated whether there were statistical differences in the three categories of cosmetics brand preference- brand preference, gift brand preference, and preference for purchasing expensive cosmetics by the consumers' residence. For the data analysis, the types of cosmetics include basic and color, the cosmetics brands include domestic and imported cosmetics. The consumers' residence include metropolitan and non-metropolitan areas. The study collected the data from 477 surveys from adult women ranging from the age groups of 20s to 50s and above in 2011. Using SPSS Version 18.0 the data was analyzed by Frequency analysis, t-test. The study results were as follow: There were significant differences in the three patterns of cosmetics brand preference depending on the consumers' residence. The three patterns of preferences were in the similar trends. The results revealed while the non-metropolitan residents showed a higher level for the domestic brands, a lower level in the three categories of preferences for imported brands compared to their metropolitan counterparts in both types of basic and color. In contrast, compared to the non-metropolitan counterparts, the metropolitan residents showed a lower level of preferences in all of the three categories of cosmetics brand preference for domestic in both types of basic and color.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.2
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• pp.188-199
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• 2003

This study intended to analyze the differences in (general & apparel) color preference and possession of apparel color preference(POA) by influential factors(fashion involvement, age, body-size and body- cathexis). We collected data from 303 females in the ages of 20's and 40's living in Seoul. The results were as follows; As a result of factor analysis, the fashion involvement was categorized into three aspects: coordinating fashion involvement, opinion-leading fashion involvement, and innovating fashion involve ment. There were significant differences among fashion involvement groups in the color preference and POA. Also the significant differences in color preferences and POA by ages and body-size were found. But in the analysis based on body-cathexis, no noticeable variance between different groups were found.

• Korean Management Science Review
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• v.27 no.3
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• pp.149-160
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• 2010

This paper focuses on frequent flyer programs (FFPs), which have long been used by most airlines as a powerful marketing tool. Since the preference for FFPs reward services and the customer perceived values of mileage points differ among FFPs members, airlines should design a customer-oriented reward service based on customer preference to motivate the use of mileage points. The intention for using mileage points is affected by various kinds of attributes such as reword items, consuming mileage points for rewards and time of usage. In this paper, we focus on evaluating customer perceived values of attributes of FFPs reward services. A conjoint analysis model is applied to get the preference value of each attribute. Some empirical experiments are conducted in relation to Korean customers. From the empirical survey, the preference values of attributes are evaluated for different scenarios with respect to the number of mileage points. With the preference values of attributes, we can find several implications for airlines regarding the development of various FFPs strategies.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.4
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• pp.111-126
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• 2002

This paper presents an interactive decision procedure to aggregate each group member's preferences when each group member articulates his or her preference information incompletely. An index, an indicative for the preference strength between alternatives, is derived to aid each decision maker to articulate preference information about alternatives. We develop a mathematical programming model that can establish dominance relations when the preference information about values of alternatives, attribute weights, and group member's importance weights are provided incompletely. Also, the preference relation between alternatives is to be considered in the model. Based on the preference strength measure and mathematical model, we develop an interactive group decision support procedure.