• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.60-64
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• 2003

Individualization serverces to be persuited in most web sites are not one automated by system but collectivization services provided into several groups with information collected in initial register. Also, as most of the web sites provide individualization services according to environmental setting fitted by each individual, it is hard to offer to provide them with analyzing members by system itself. In this paper, as we store behavior characters of members on web surfing into member database and anlyze them automatically, system itself enables to provide individualization services.

• The Journal of Information Systems
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• v.18 no.3
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• pp.211-229
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• 2009

Recently, trends of information technology development include offerings of service for personalization, intelligence, and convergence. The research suggested a new tour system that tourists can make their tour packages by applying Semantic Web technology. The system includes ontologies and inference rules for offering intelligent and personalized service. Our system called MYT (Make Your Tour-package) was successfully demonstrated by employing realistic scenarios. Current version of the MYT system needs manager's intervention to link and integrate automatically ontology subsystem and Web service. In further study, the MYT will be extended to the system including a component integrating automatically subsystems and a component capturing and processing context data from RFID/USN.

• Journal of Information Technology Services
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• v.3 no.1
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• pp.89-99
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• 2004

Mobile service, which is related to all stages of supply chain, can enhance the efficiency of perception and response of the participants. The advantage of mobile service is ubiquity, speed, traceability, positioning, personalization and safety. The purpose of this paper is to propose an overall framework utilizing mobile service in SCM. In the areas of inventory management, remote diagnostics, communications with field workers, and order fulfillment, customer-centric mobile supply web is proposed and implemented for the wireless warehousing and replenishment system.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.367-369
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• 2002

인터넷 검색 기술은 발전을 거듭하고 있지만 불필요한 정보의 과잉현상으로 개인에게 필요한 정보나 서비스를 찾기 위해서는 많은 시간과 노력이 필요하다. 웹 사이트 개인화(web site personalization)는 이러한 문제점을 해결하기 위한 노력으로 맞춤형 정보를 제공한다. 특히 차세대 인터넷 접속 매체인 PDA나 휴대폰, 스마트폰 등 모바일 단말기가 보편화되면서 작은 화면이나 낮은 대역폭과 같은 무선 환경의 단점을 극복하고 개인화의 장점을 얻을 수 있는 연구들이 활발히 진행되고 있다. 본 논문에서는 웹 사이트에서 제공되는 서비스 페이지들을 사용자의 개인별 선호도에 따라 쉽게 접근할 수 있도록 추출하여 제공함으로써 단순히 웹 페이지에 대한 사용자 접근 패턴을 이용한 기존 모바일 개인화 시스템의 단점을 극복한 웹 서비스 페이지 중심의 모바일 개인화 기법을 제안한다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.189-192
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• 2004

The present much information of internet has to exist for innumerable user so that couldn't satisfy there's a variety of demand. so they have a demerit that search unnecessary information. However Web service is different with other mass media because It is possible that enable Mass Customization for Personalization strategy. In The paper suggest reasoning system that detect user connection location by using indirect abstraction techniques a kind of Case-based reasoning techniques.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.3
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• pp.75-91
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• 2005

The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.104-110
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• 2023

In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

• Journal of Digital Convergence
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• v.5 no.2
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• pp.71-81
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• 2007

This study is to design the web-based educational setting in industry to test the effectiveness of online teaching in Korea. Especially this study focuses on the impact of information technology on educational influence on employees in small and medium-sized enterprises (SME) because these experimental settings are differed from universities or large firms often called Jaebaels. The findings of the study are summarized as education setting especially personalization content materials greatly influences on the speed and quality of employees' learning. Also the positive attitudes of employees toward the learning environment correlate to the effectiveness of online learning in SME.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.342-351
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• 2002

A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.6
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• pp.1089-1098
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• 2007

Currently, user require is diverse on the Web. Furthermore, each web user is wishing to retrieve data or goods that hey want to look for more conveniently and more quickly. Because different search criteria and dispositions of web users, they lead to unnecessary repeated operations in order to use implemented by web designer. In this paper, we suggest the system that analyzes user patterns on the Web using the technique of log file analysis and transfers more effectively the information of web sites to users. And we analyze the log file for customer data in the system the proposed method are implemented by means of EC-Miner that is one of the tool of datamining, and aims to offer appropriate Layout corresponding with personalization by giving weight to each transport path.