• Korean Journal of Culture and Social Issue
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• v.18 no.2
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• pp.191-213
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• 2012

The purpose of this study was to examine the differences of the explicit and implicit attitudes towards the elderly according to age and gender. For this research, 64 college students and 64 older people completed Explicit Attitudes Rating Scales (likability/ trustfulness/ companionship/ group membership), Explicit Preference Test, and Young-Old Implicit Association Test. The college students presented in-group preference and out-group bias on both explicit and implicit level whereas our-group favoritism was presented in the older participants on both explicit and implicit level, which meant the older participants preferred the young to the old. In both the groups, however, there were no significant correlations between explicit and implicit age attitude. In addition, college students showed an explicit preference for the old over the older participants whereas only interaction effect(age and gender) was appeared on implicit preference toward older people. The theoretical and practical implications and limitations of this study were discussed.

• Journal of the Korean Society of Costume
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• v.66 no.1
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• pp.13-27
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• 2016

There are differences in preference according to the brand signal explicitness when selecting fashion luxury brand, and the purpose of this study is to verify the moderating effects of self-construal and implicit theory in relation to those preferences. This study divided the experiment design into two $2{\times}2$ mixed design studies: Study 1 and Study 2. The study 1 was composed of the following factors: brand signal explicitness(subtle vs. explicit signal) and self-construal(independent vs. interdependent self-construal). Study 2 was composed of the following factors: brand signal explicitness( subtle vs. explicit signal) and Implicit theory(entity vs. incremental theorist). Convenience sampling was conducted to find the subjects of study 1 and study 2. Study 1 analyzed data from 172 women in Seoul, Gyeonggi-do and Busan who prefer luxury brand, and study 2 used data from 138 women. The results of this study are as follows. 1) Independent self-construal primed group was shown to prefer subtle signal product to explicit signal product, whereas interdependent self-construal priming group preferred explicit signal product to subtle signal product. 2) The entity theorist to prefer explicit signal product to subtle signal product. On the other hand, the incremental theorist did not show significant difference in the preference between subtle and explicit signal products. Therefore, the results of the present study shown the importance of understanding consumers through the difference depending on consumer inclination and psychology, recommending preferred luxury brand according to the inclination of the target customers, and establishing segmented marketing strategy to captivate consumers with these various characteristics.

• Korean Journal of Culture and Social Issue
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• v.15 no.1
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• pp.49-79
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• 2009

This study examined how the explicit and implicit race attitudes differ according to age and gender from the developmental perspective in Korean elementary students. The study also investigated the efficacy of a multi-cultural education program on explicit and implicit attitude change in elementary school students. This thesis consists of two parts. In Study 1, elementary school students(first grade:117, fourth grade:117) completed Explicit Attitudes Rating Scales, Explicit Preference Test, and Child Implicit Association Tests (Korean-White/Korean-Black/ Korean-Southeast Asian IATs). The effects of age and gender on explicit and implicit attitudes toward Korean/White/Black/Southeast Asian were examined with two-way MANOVA. The results demonstrated that as age increases, in-group preference/out-group bias decrease on the explicit level. In contrast, on the implicit level, as age increases, in-group preference/out-group bias do not decrease. Rather, prejudiced attitudes toward blacks increase. Study 2 was performed to investigate the effect of a multi-cultural education program on explicit and implicit attitude change toward races in elementary school students. The program conveying an anti-bias message consists of three sessions, and the procedures are as follows; watching video clips, confirming contents and short discussion. Two classes in the program and two classes in comparative groups on the first and fourth grade of elementary school were assessed. The results showed that black preference significantly increased both in the first and the fourth grade elementary students on the explicit attitude level, but not on the implicit level. The theoretical and practical implications of these findings were discussed.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.721-738
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• 2012

The Internet has become an increasingly important source for finding the right employees, so more and more companies post their job openings on the Web. The large amount and dynamic nature of career recruiting information causes information overload problems for job seekers. To assist Internet users in searching for the right job, a range of research and commercial systems were developed over the past 10 years. Surprisingly, the majority of existing job search systems support just one, rarely two ways of information access. In contrast, our work focused on exploring a value of comprehensive access to job information in a single system (i.e., a system which supports multiple ways). We designed Proactive, a recommendation system providing comprehensive and personalized information access. To assist the varied needs of users, Proactive has four information retrieval methods - a navigable list of jobs, keyword-based search, implicit preference-based recommendations, and explicit preference-based recommendations. This paper introduces the Proactive and reports the results of a study focusing on the experimental evaluation of these methods. The goal of the study was to assess whether all of the methods are necessary for users to find relevant jobs and to what extent different methods can meet different users' information requirements.

• 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.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.641-642
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• 2008

In this paper, we propose a new approach for the implicit rating algorithm of finding user's intense and preference to the contents on the web. Although the explicit method dig out the user preference of specific contents based on the user's intervention, we propose the implicit method obtaining the user preference according to the user's behavioral patterns on the web implicitly and automatically without the user's intervention. The implementation results show that the proposed approach is highly valuable for supporting recommender systems in conjunction with the users lifestyle.

• English Language & Literature Teaching
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• v.15 no.4
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• pp.237-264
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• 2009

The present study explores patterns of teachers' corrective feedback and learners' uptake in Korean EFL undergraduate classroom setting. It also examines consistencies and discrepancies in the perception of corrective feedback by teachers and learners. Teachers' and learners' preferences and perception of corrective feedback are further analyzed to determine whether or not those differ from actual practices in English language learning classrooms. The results of the study are as follows. First of all, teachers' corrective feedback type varied according to the learners' error type and English proficiency level. There was a lack of consistency between the teachers' feedback practices and the learners' error types. Second, for the phonological errors, learners' data witnessed the most frequent uptake on recast. For the other error types, however, the learners' uptake rates were high for the explicit corrective feedback. Third, the teachers' explicit knowledge of corrective feedback was rather low and the preferences differed from teacher to teacher. The teachers' feedback perception and preferences did not consistently reflect their actual practices. Finally, patterns of the learners' expectations of corrective feedback varied according to learners' proficiency level. Teachers' and learners' expectations of corrective feedback were also compared and some mismatches were detected.

• Journal of Korea Trade
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• v.23 no.3
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• pp.84-104
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• 2019

Purpose - This paper explains why free trade agreements (FTAs) are more popular than customs unions (CUs) in respect of tariff coordination. Design/methodology - This paper employs an equilibrium theory of trade agreements with tariff coordination. I set up three-country partial equilibrium model with competing exporters. Domestic and exporting firms decide their optimal production under given tariffs and each country levies its tariff under the trade agreements. I found stability of implicit tariff coordination and preference of each country between an FTA and a CU. Findings - I demonstrate that two FTA members can keep their external tariffs higher than separately decided external tariffs by keeping the status-quo. This implicit tariff coordination can benefit each member through trade diversion. In a CU, each member country must have a common optimal external tariff and it must incur costs because each country may seek different external tariffs for their own national welfare. The benefit of implicit coordination in an FTA and the cost of explicit coordination in a CU account for the popularity of the FTA. Originality/value - This paper uses the idea of implicit tariff coordination in trade agreements. In a CU, tariff coordination is explicit and mandatory. All member countries must have a single common external tariff for each good. On the other hand, in an FTA, each country establishes its external tariff with the goal of maximizing its own welfare. However, each country can also coordinate "implicitly" by keeping the status-quo after establishing an FTA.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.59-67
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• 2013

In this paper, we propose the LAR_CF, latent attribute rating-based collaborative filtering, that is robust to data sparsity problem which is one of traditional problems caused of decreasing rating prediction accuracy. As compared with that existing collaborative filtering method uses a preference rating rated by users as feature vector to calculate similarity between objects, the proposed method improves data sparsity problem using unique attributes of two target objects with existing explicit preference. We consider MovieLens 100k dataset and its item attributes to evaluate the LAR_CF. As a result of artificial data sparsity and full-rating experiments, we confirmed that rating prediction accuracy can be improved rating prediction accuracy in data sparsity condition by the LAR_CF.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.309-321
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• 2014

Recently, due to the advent of ubiquitous computing and the spread of intelligent portable device such as smart phone, iPad and PDA has been amplified, a variety of services and the amount of information has also increased fastly. It is becoming a part of our common life style that the demands for enjoying the wireless internet are increasing anytime or anyplace without any restriction of time and place. And also, the demands for e-commerce and many different items on e-commerce and interesting of associated items are increasing. Existing collaborative filtering (CF), explicit method, can not only reflect exact attributes of item, but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, using a implicit method without onerous question and answer to the users, not used user's profile for rating to reduce customers' searching effort to find out the items with high purchasability, it is necessary for us to analyse the segmentation of customer and item based on customer data and purchase history data, which is able to reflect the attributes of the item in order to improve the accuracy of recommendation. We propose the method of recommendation system using association rule and weighted preference so as to consider many different items on e-commerce and to refect the profit/weight/importance of attributed of a item. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.