• Proceedings of the Korean Institute of Interior Design Conference
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• 2006.05a
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• pp.71-74
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• 2006

The purpose of this study was to examine preference for the planning components of kitchen according to residential characteristics. The questionnaire survey was adopted in this study, and 184 cases were used for data analysis. The questionnaire consisted of condition and preference in size, location, and layout of kitchen, remodeling elements, and satisfaction with kitchen. Frequency, percentage, and mean, correlation, x2-test, and ANOVA were used for data analysis. Subjects preferred the kitchen of size $4{\sim}5$ pyung. And they tended to prefer the kitchen located the inside and 6th shape-separated kitchen from dinning area. The findings showed that the preference of the planning components of kitchen according to residential characteristics was not distinct except housing size.

• Journal of Computing Science and Engineering
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• v.6 no.4
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• pp.243-256
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• 2012

In this paper we present a framework for a novel kind of context-aware preference query composition whereby queries for the Preference SQL system are created. We choose a commercial e-business platform for outdoor activities as a use case and develop a context model for this domain within our framework. The suggested model considers explicit user input, domain-specific knowledge, contextual knowledge and location-based sensor data in a comprehensive approach. Aside from the theoretical background of preferences, the optimization of preference queries and our novel generator based model we give special attention to the aspects of the implementation and the practical experiences. We provide a sketch of the implementation and summarize our user studies which have been done in a joint project with an industrial partner.

• KIEAE Journal
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• v.12 no.2
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• pp.103-110
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• 2012

This Study analyzed about various factors affecting preference of Silver Town. Especially, the Study shows how Individual peculiarities and the realization of decrepit Service and facilities have on preference of Silver Town. According to analysis, the site location, Economics and Safety have a positive effect on the preference of the Silver Town. On the other hand, Investment, pleasant environment and convenience have nothing to do with the preference of the Silver Town. Also, the Study shows that if someone realizes that medical service is the most important thing in the essential service, they prefer the Silver Town. If someone realizes that asset management service is the most important thing in the essential service, they don't prefer the Silver Town.

• Korean Journal of Organic Agriculture
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• v.7 no.2
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• pp.35-51
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• 1999

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.11a
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• pp.33-36
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• 2009

Korea is the 3rd highest country in population density of the world,furthermore, 1/5 of Korean lives in Seoul with only 0.0% tiny area size. It explains the high-rise apartment has diffused so fast. Regardless of its height, almost all apartments have been planned in a very uniform way, ignoring the possibilities of vertical community and commercial culture. Since considerable number of residents have within building, ways to improve the community and commercial culture need to be explored. One major way to do is providing community space where residents are expected to use in a natural way. The purpose of this research is to identify preferred location of community space in each apartment building. Web guesting survey was used as main methodology. 83 data were collected during mid October, 2009. As results, lobby at the first floor was most favorably selected by super high-rise apartment residents due to convenience, accessibility.

• Journal of the Korean Society for information Management
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• v.26 no.1
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• pp.81-105
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• 2009

In this paper, we propose user contents using behavior and location information on contents on various channels, such as web, IPTV, for contents distribution. With methods to build user and contents profiles, contents using behavior as an implicit user feedback was applied into machine learning procedure for updating user profiles and contents preference. In machine learning procedure, contents-based and collaborative filtering methods were used to analyze user's contents preference. This study proposes contents location information on web sites for final recommendation contents as well. Finally, we refer to a generalized recommender system for personalization. With those methods, more effective and accurate recommendation service can be possible.

• Journal of KIISE:Software and Applications
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• v.33 no.3
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• pp.356-364
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• 2006

'Ubiquitous Computing' is the most important paradigm of the next generation Information-Communication technology. The one of important problems to develop ubiquitous computing service system get hold of relations between times of transfer objects and events of transfer objects. Another problem is what reason transfer-pattern through location data of transfer objects. In this paper, we propose an approach to offer temporal-relation service in ubiquitous computing environment. The first is temporal reasoning in service viewpoint. The second is temporal reasoning to record user's preference. Users have preferences that are closely connected with time. These preferences are recorded at user profile. Therefore, the user profile-based ubiquitous service system can offer suitable service to users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5344-5356
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• 2018

Nowadays with the help of Location-Based Social Networks (LBSNs), users of Point-of-Interest (POI) recommendation service in LBSNs are able to publish their geo-tagged information and physical locations in the form of sign-ups and share their experiences with friends on POI, which can help users to explore new areas and discover new points-of-interest, and promote advertisers to push mobile ads to target users. POI recommendation service in LBSNs is attracting more and more attention from all over the world. Due to the sparsity of users' activity history data set and the aggregation characteristics of sign-in area, conventional recommendation algorithms usually suffer from low accuracy. To address this problem, this paper proposes a new recommendation algorithm based on a novel Preference-Content-Region Model (PCRM). In this new algorithm, three kinds of information, that is, user's preferences, content of the Point-of-Interest and region of the user's activity are considered, helping users obtain ideal recommendation service everywhere. We demonstrate that our algorithm is more effective than existing algorithms through extensive experiments based on an open Eventbrite data set.

• Journal of the Korean housing association
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• v.18 no.1
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• pp.83-93
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• 2007

Following the previous ones, this study is intended to explore methods of qualitative assessment on the view from apartment units. It first complemented and analyzed the attributes of landscape elements and then set up questionnaire items based on these attributes to identify the tendencies in apartment inhabitants' recognition of landscape elements, and then conducted a preference assessment on the test cases sampled on the basis of picture and other data collected in the previous studies to identify the characteristics of the preference for the view from apartment units according to landscape elements. Consequently, the following results have been derived. First, the landscape elements seen from apartment units may be classified into a total of sixteen categories, and the overall ratio of natural elements to artificial ones is shown to be approximately one to three. Second, it is also shown that apartment dwellers tend to prefer natural landscape elements over artificial ones, and the preferences for the distance to and location of landscape elements exhibit certain variance depending on the type of the elements. Third, the analysis of the preference for landscape elements has revealed that the types of landscape elements, the make-up and diversity of landscape elements, and the perceived distance to landscape elements as well as the resultant feeling of openness all affect the preference tendencies.

• Journal of the Korean housing association
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• v.17 no.6
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• pp.27-35
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• 2006

The purpose of this study is to analyze about perception and preference degree of resident's for environmental moulding. We will find factors effected to utilization of residents. So we should extract characteristics in the way of an association factors. The analysis result of this study is as follows: First, We could know that they consider form and establishment position to be the most important factors a using environment moulding in a housing complex. Second, it is high that preference degree at environmental moulding of figurative shape located in front of main entrance harmonized with gardening. Third, it is high that preference degree at environmental moulding of abstract shape located in front of a pray ground. Finally, environment moulding of mixing form appeared highest preference degree at parking lot entrance location. As valued result of this thesis, the result of environment moulding and surrounding as harmony form is going to utilize to basic to establish in a housing complex. furthermore, This research increase dwelling peoples' satisfaction as well as arrangement of environmental moulding and is expected that is going to give affirmative effect that can enhance quality of a housing complex.