• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.300-301
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• 2016

This paper proposes customized recommendation algorithm to improve the QoS(quality of service) of sport for all sports content uses to user profile and team grade. The proposed recommendation module is based on user profile information, and it recommends suitable team contents to user with Euclidean distance algorithm and preference weights between teams.

• Information Systems Review
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• v.14 no.3
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• pp.115-129
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• 2012

A matchmaking system is a type of recommender systems that provides a set of dating partners suitable for the user by online. Many matchmaking systems, which are widely used these days, require users to specify their preferences with regards to ideal dating partners based on criteria such as age, job and salary. However, some users are not aware of their exact preferences, or are reluctant to reveal this information even if they do know. Also, users' selection standards are not fixed and can change according to circumstances. This paper suggests a new matchmaking system called Decision Tree based Matchmaking System (DTMS) that automatically adjusts the stated standards of a user by analyzing the characteristics of the people the user chose to contact. AMMS provides recommendations for new users on the basis of their explicit preferences. However, as a user's behavioral records are accumulated, it begins to analyze their hidden implicit preferences using a decision tree technique. Subsequently, DTMS reflects these implicit preferences in proportion to their predictive accuracy. The DTMS is regularly updated when a user's data size increases by a set amount. This paper suggests an architecture for the DTMS and presents the results of the implementation of a prototype.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.531-544
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• 2009

In the past, objective usability was one of the most important aspects when user used system. But nowadays user's subjective experiences are getting more critical element than objective usability in HCI(human-computer interaction). Most people own their mobile phone and use it frequently these days. It is especially important to make user's subjective experiences more positive when using devices like mobile phones people frequently carry and interact with. This study investigates whether the interfaces which express the emotion give more positive experiences to users. Researchers created mobile phone prototypes to compare the effect of mechanical melody feedback(the major auditory feedbacks on mobile phones) and emotional voice feedback(recorded human voice). Participants experienced four kinds of mobile phone prototypes(no feedback, mechanical melody feedback, emotional voice feedback and dual feedback) and evaluated their experienced usability, hedonic quality and preference. The result suggests that person's perceptional fun and hedonic quality were getting increased in the phone which gave the emotional voice feedback than the mechanical melody feedback. Nevertheless, the preference was evaluated lower in the emotional voice feedback condition than the others.

• Korean Institute of Interior Design Journal
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• no.21
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• pp.101-106
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• 1999

This study has been designed to explore the preferences of interior space for those living in apartment housing. It also examines the relationships between preferences of interior space, such as storage space, organization type of LDK(the living room, the dining room, and kitchen), space facing south, an interior garden, the concept of each room and the characteristics of the consumers, such as age, educational background employment status of homemakers, occupation of the primary income provider, family-life cycle, total household income, the size of floor space, and homeownership. In conclusion, this study suggests that at the time of designing apartment housing units, serious consideration should be given to the built-in closets or storage space in the anbang and to the location of a child's room facing to the south of the dwelling, especially for the families with a child attending primary school or younger and higher education level of homemaker. This study also recommends that the organization of the living room, the dining room, and the kitchen should be varied according to the housing size and the age of homemaker.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.143-149
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• 2010

In ubiquitous environment, information retrieval using collaborative filtering is a popular technique for reducing information overload. Collaborative filtering systems can produce personal recommendations by computing the similarity between your preference and the one of other people. We integrate the collaboration filtering method and context-aware information retrieval method. The proposed method enables to find some relevant information to specific user's contexts. It aims to makes more effective information retrieval to the users. The proposed method is conceptually comprised of two main tasks. The first task is to tag context tags by automatic tagging technique. The second task is to recommend items for each user's contexts integrating collaborative filtering and information retrieval. We describe a new integration method algorithm and then present a u-commerce application prototype.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.93-104
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• 2015

In this paper, the design of intelligent_advertisement_operation system(IAdOS) based on user's feedback is proposed for mobile environments. The proposed system stores the advertising contents created by the advertising provider and recommends the personalized advertising contents by analyzing the context information, and then feedback information of the advertisements. Since the proposed system which can recommends provide the smart advertisement contents based on personal preference, it is expected to contribute the new service model development of in the field of advertising market.

• Journal of the Korea Society of Computer and Information
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• v.22 no.12
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• pp.49-54
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• 2017

Pathfinding for pedestrians provided by various navigation programs is based on a shortest path search algorithm. There is no big difference in their guide results, which makes the path quality more important. Multiple criteria should be included in the search cost to calculate the path quality, which is called a multi-criteria pathfinding. In this paper we propose a user adaptive pathfinding algorithm in which the cost function for a multi-criteria pathfinding is defined as a weighted sum of multiple criteria and the weights are learned automatically by Perceptron learning. Weight learning is implemented in two ways: short-term weight learning that reflects weight changes in real time as the user moves and long-term weight learning that updates the weights by the average value of the entire path after completing the movement. We use the weight update method with momentum for long-term weight learning, so that learning speed is improved and the learned weight can be stabilized. The proposed method is implemented as an app and is applied to various movement situations. The results show that customized pathfinding based on user preference can be obtained.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.3
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• pp.167-173
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• 2002

In this paper, we propose an interactive genetic algorithm (IGA) to implement an automated 2D avatar synthesis. The IGA technique is capable of expressing user's personality in the avatar synthesis by using the user's response as a candidate for the fitness value. Our suggested IGA method is applied to creating avatars automatically. Unlike the previous works, we introduce the concepts of 'hidden population', as well as 'primitive avatar' and 'simplified genotype', which are used to overcome the shortcomings of IGA such as human fatigue or reliability, and reasonable rates of convergence with a less number of iterations. The procedure of designing avatar models consists of two steps. The first step is to detect the facial feature points and the second step is to create the subjectively optimal avatars with diversity by embedding user's preference, intuition, emotion, psychological aspects, or a more general term, KANSEI. Finally, the combined processes result in human-friendly avatars in terms of both genetic optimality and interactive GUI with reliability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.759-761
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• 2011

Recently, there is study about interface for user convince. this users interface technology can apply to UI depend on user choice. For that, W3C study various technology which is N-screen service on different device, provide consistent service, and UI adjust service depends on user preference. Therefore, we need UI study based on this model and standard technology. In this paper, study UI technology based on basic model to develop UI for user's convenience. So it can be useful to apply next-generation Web applications and secure web-application measure plans.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.1
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• pp.28-41
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• 2012

The User-Oriented Public Transit Service provide public transit service through media devices, such as mobile, BIT and In-vehicle display devices, which considered user's individual characteristics and specific preference anytime and anywhere. The objective of this study is to develop and improve the services in the three media devices. This study applied user-satisfaction analysis in evaluating the service in Busan, analyze factor affecting the level of service user's satisfaction, and draw remedies based on the analysis results. The user's satisfaction average values in each media are 3.29 mobile, 3.62 BIT, and 4.05 In-vehicle display devices. Overall satisfaction average value 3.54 on the service showed a positive reaction from the survey participants. The important factor affected on general satisfaction of the User-Oriented Public Transit Service is "In-vehicle display devices" scored .632 (standardized coefficient) by categorical regression analysis. But users prefer to further improve the service environment rather than to add service information because they are already contented with the information they are getting. Furthermore, this study suggested ways of improving the User-Oriented Public Transit Service based on the satisfaction analysis results from the user's perspective.