• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.91-109
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• 2011

This study describes the design and development of personalized e-Tutor to facilitate e-Learning. An e-Tutor was developed to provide personalized cognitive, emotional, and social learning supports automatically and integrated into an e-learning system. Fourteen learning supports selected in this study were consisted of eight cognitive, three emotional, and three social factors respectively. Participants were 202 adult learners in corporate training environments. The result indicated that e-Tutor was perceived useful in general. Amongst three, cognitive support was perceived as the most useful. Emotional and social supports of encouraging learners and facilitating interactions among learners were also reported useful to facilitate the desired learning outcomes.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.125-144
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• 2004

The purpose of this study is to classify customer bye-mailing responsiveness on time-series analysis and RFM module and testify the effectiveness of grouping by ROI analysis. RFM (Recency, Frequency, Monetary Value) analysis are used for customer classification that is fundamental process of e-CRM application. ROI analysis were consisted of open, click-through, duration time, conversion rate, personalization and e-mail loyalty index. Major findings are as follows; Customer segmentation were loyal customer, odds customer, dormant customer, secession customer and observation customer by Activity email module. And Loyal, dormant and secession customer are segregated by RFM module. Loyal customer group have higher point of all ROI index than other groups. These results indicated that customer responsiveness of e-mailing and RFM analysis were appropriate methods to grouping the customer. Mid-small Internet Biz adapted marketing strategy by optimization of consumer information.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1263-1270
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• 2018

We investigated the e-learning platforms for higher education in developing countries. First, we introduced e-learning environmental factors such as ICT technology as well as ASEAN Cyber University (ACU) project for developing countries. And then, we presented Cambodian case as an example of e-learning platform for developing countries. We analyzed the national education policy and ICT environment as well as the demands and obstacles of e-learning in Cambodia. We derived e-learning strategies and plans based on the analysis results, and finally proposed e-learning platform C-MOOC Net. In order to verify the proposed scheme, we developed prototype of C-MOOC Net system which is implemented based on open software. As a result, we have met the requirement of networking the C-MOOC hub, supporting localization of local language and personalization of favorite courses respectively.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.545-553
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• 2004

A researcher, who is a member of an academic society, is required to write a report on his or her research and present it at an academic workshop in order to have the contents of the research recognized by others. In order to do that, the researcher frequently has to look up the web pages of each workshop for information such as the submission deadline, paper information, announcements and news. On the other hand, the academic society mostly relies on e-mail or bulletin board to send information about itself to its members to inform its members about its latest news or developments. A system where the researcher can gain all the information required through just a single click and the academic society can provide its members with the necessary information through a simple step is required for the ease of both side. We will take a look at the domestic status of researches being done on such systems where the RSS standard has been applied and suggest a RSS-based dissemination model where the concept of personalization has been applied to satisfy the needs of the individual user.

• The Journal of Korean Association of Computer Education
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• v.12 no.3
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• pp.41-51
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• 2009

In this thesis, we suggested an e-learning model, which is named 'goal driven personalized e-learning system' to improve educational effects, and implemented it. The system makes the learner choose the learning goal which could be a motivational power for learning, so it enabled self-directed learning. In order to implement the system, we proposed new standards related to personalization by modifying SCORM 2004 standard. New standards stand for the statistics on learning objects usage, a goal for driving learning. and information of the contents model and the sequencing information model, which are parts of the system previously suggested. We implemented the system, and then proved that personalize e-learning is possible by showing that the system could offer a learning path individually to learners who have different characteristics.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.4
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• pp.198-206
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• 2008

Internet protocol television (IPTV), one of the most emerging services, offers multimedia streaming services with security, reliability, and relevant quality of service (QoS)/quality of experience (QoE). It provides added values to all the involving players and also brings technical and business challenges to them. For IPTV services, we expect to adopt the next generation network (NGN) environment for high quality and the Web technologies for personalization to meet the customer's necessity. Web can provide an open, flexible, and agile platform. Therefore, in this paper, we propose personalized IPTV services based on Web-based open platform in NGN environment and present functional architecture for Web-based personalized IPTV services. Technical issues for deploying the proposed IPTV services using Web are also provided. The objective of this paper is to analyze the critical architectural issues for developing viable and feasible networking platform models for personalized IPTV services.

• The Journal of Information Systems
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• v.21 no.3
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• pp.45-70
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• 2012

Based on the usage levels of target costing systems(TCS) and information technology (IT) infrastructure, this study aims to develop a framework useful for classifying four types of knowledge management(KM) strategies in manufacturing firms: process-oriented, product-oriented, mixed and negative. We adopted a multi-methodological approach by mixing both qualitative and quantitative methods. Before developing a framework, through a case study of the H Motor Company in Korea, this paper investigated and showed the functions of TCS in the management of tacit knowledge. The results from the case study indicated that with the use of TCS, a firm can create, transfer, and share diverse kinds of tacit knowledge among employees for the facilitation of process innovation. We also empirically confirmed the four types of KM strategies, and demonstrated the characteristics(i.e., size, total sales, age, and knowledge intensity) of the organizations adopting each strategy.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.403-405
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• 2002

PDA(Personal Digital Assistant)와 같은 Mobile 이동통신기기를 사용한 인터넷 쇼핑은 향후 E-Commerce 시장에서 가장 크게 확산되어질 한 분야로 부상되고 있다. 그러나 현재 인터넷상에 혼재 되어있는 수많은 정보에 대하여 Mobile Environment상의 제한된 Screen Size와 더불어 느린 통신 속도, 무선 인터넷 접속시의 높은 비용 등의 문제로 다량의 정보에 대한 확인과 검색이 어렵고, 고객이 원하지 않는 정보 또한 산재되어 있어 개인화(Personalization)된 검색 서비스의 요구가 대두되는 실정이다. 이로 인해 본 연구에서는 PDA 및 Handhold PC를 이용하는 User의 취향 정보와 만족도 등을 기준으로 보다 편리하고 효율적인 개인화 Interface의 제공 및 이를 이용한 손쉬운 검색 방식을 제시한다. 또한 User 인터랙션 정보를 통해 Feedback함으로써 보다 완벽하게 User 개인별 취향에 접근할 수 있는 Browsing기법을 제시한다.

• 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.