• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.2
• /
• pp.85-96
• /
• 2010

Satisfaction of computer internet user in Ubiquitous depends on characters which given from web site. In this paper, studying about characteristic of internet web site that influence internet user's satisfaction. Had a research by interviewing and e-mail for a month, at over the 20 ages person who has experience purchasing S/W from shopping mall in internet purchasing site. The research shows the main factor of the user's satisfaction are that communication business combine, information usability, interaction, personalization, mailing list, over the web site characteristics. Finally, this paper suggest that special features and studying limitation of the enterprise web transactions base on the result of the research.

• Journal of KIISE:Computing Practices and Letters
• /
• v.13 no.6
• /
• pp.402-406
• /
• 2007

Rich Internet Application(RIA) is one of the Web 2.0 technologies and is expected to be a next generation user interface technique which allows flexible and dynamic manipulation for Web searches. This paper addresses a personalization mechanism for advanced Web search using RIA for abundant user interactions. We devised a dynamic and graphical user interface instead of previous text-based searches and a client side application for storing personal preference information. In this research, we implemented the graphical personalized search manager using Yahoo web search API and widget, and demonstrated its effectiveness by performing some experiments with various query terms and representative predicates.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2001.11a
• /
• pp.389-392
• /
• 2001

본 논문에서는 웹 데이터 마이닝을 통하여 웹 사이트를 방문한 사용자의 컨텐츠 유형에 따른 정보를 조사하고, 필터링 과정을 통해 분류화하고, 이러한 과정을 통해 얻은 정보를 이용하여 뉴스레터를 발송하며, 발송된 뉴스레터로부터의 컨텐츠 유형에 따른 CTR(Click Through Rate)과 사용자 반응을 추적하여 이러한 정보를 분석하고 사용자 프로파일 및 웹 사이트로부터 분류화된 정보, 그리고 추적된 정보와 함께 뉴스레터 컨텐츠를 재구성하는 개인화된 자동화 뉴스레터 시스템을 설계하고 구현한다.

• Journal of Korea Multimedia Society
• /
• v.10 no.9
• /
• pp.1106-1116
• /
• 2007

Recently e-commerce trade on the web has grown rapidly in scale and complexity, just as web site designs and web servers have become more complicated. In view of these complexities, it is obviously difficult to analyse web user's data since they web users employ so many different web paths. The existing association rule investigation algorithms identify all items with a high correlation. However even though users often only want to find items in which they have interest, it is still difficult to find the rules they want out of all of the many association rules found by existing algorithms. In this paper, we propose a system linking each node with the sequence association rule, linking all routes after finding a path corresponding to a user with the association rule-one of the data mining techniques which identify user patterns in web user paths. The suggested system helps us construct individualized or customer-subdivided sites using the sequence association rule in order to harmonize the paths of web users with user characters.

• Journal of Korean Institute of Industrial Engineers
• /
• v.39 no.2
• /
• pp.119-128
• /
• 2013

Most internet users utilize internet portal search engines, such as Naver, Daum and Google nowadays. But since the results of internet portal search engines are based on universal criteria (e.g. search frequency by region or country), they do not consider personal interests. Namely, current search engines do not provide exact search results for homonym or polysemy because they try to serve universal users. In order to solve this problem, this research determines keyword importance and weight value for each individual search characteristics by collecting and analyzing customized keyword at external database. The customized keyword weight values are integrated with search engine results (e.g. PageRank), and the search ranks are rearranged. Using 50 web pages of Goolge search results for experiment and 6 web pages for customized keyword collection, the new customized search results are proved to be 90% match. Our personalization approach is not the way that users enter preference directly, but the way that system automatically collects and analyzes personal information and then reflects them for customized search results.

• Journal of Korean Library and Information Science Society
• /
• v.33 no.1
• /
• pp.121-141
• /
• 2002

In this paper, I presented that transformation of library from the collection management to knowledge contents management along with paradigm shift under the web-based multimedia information environment is required. Effective web contents management call maximize users'satisfaction with personal customizing services for library users. Especially, contents customizing service using the metabrowsing service contributes to maximize the user'satisfaction by supplying core contents that the user seeks. In this paper, I studied the scheme of knowledge contents management to increase of user'satisfaction, concentrating on the management factors of web-based multimedia knowledge contents and service strategy.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.25 no.2
• /
• pp.41-57
• /
• 2014

The objectives of this study is to propose the direction of developing the reading activities of the individuals in the future society, and to develop the "model of Web-based reading strategy", based on the understanding of the information literacy reading strategies, and the characteristic and concept of web 3.0., for adapting to the changes in the media environment. In this study, 6 reading strategy models based on the web platform were developed. These 6 strategy models are Metacognitive Strategy, Information Retrieval Model, Personalization Strategy, Reading Strategy, Writing Strategy and Interpreting Strategy.

• Journal of Intelligence and Information Systems
• /
• v.9 no.3
• /
• pp.177-191
• /
• 2003

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is the most successful recommendation technology. Web usage mining and clustering analysis are widely used in the recommendation field. In this paper, we propose several hybrid collaborative filtering-based recommender procedures to address the effect of web usage mining and cluster analysis. Through the experiment with real e-commerce data, it is found that collaborative filtering using web log data can perform recommendation tasks effectively, but using cluster analysis can perform efficiently.

• Journal of KIISE:Software and Applications
• /
• v.31 no.1
• /
• pp.61-70
• /
• 2004

It is difficult to find an appropriate web site because exponentially growing web contains millions of web documents. Personalization of web search can be realized by recommending proper web sites using user profile but more efficient method is needed for estimating preference because user's evaluation on web contents presents many aspects of his characteristics. As user profile has a property of non-linearity, estimation by classifier is needed and combination of classifiers is necessary to anticipate diverse properties. Structure adaptive self-organizing map (SASOM) that is suitable for Pattern classification and visualization is an enhanced model of SOM and might be useful for web mining. Fuzzy integral is a combination method using classifiers' relevance that is defined subjectively. In this paper, estimation of user profile is conducted by using ensemble of SASOM's teamed independently based on fuzzy integral and evaluated by Syskill ＆ Webert UCI benchmark data. Experimental results show that the proposed method performs better than previous naive Bayes classifier as well as voting of SASOM's.

• Journal of the Korea Society of Computer and Information
• /
• v.10 no.6 s.38
• /
• pp.219-226
• /
• 2005

This paper describes the open API with integration of semantic web service with PARLAY X based open API in 4G mobile network. It can be expected that the intelligence such as the context-awareness, adaptation and personalization in 4G mobile network will be deployed. But the existing PARLAY based network lacks in considering context-awareness, adaptation and personalization. Therefore, the object of this paper is to support the architecture and the Application Programming Interface (API) of the network service for the context-awareness, adaptation and Personalization in 4G mobile network The open API is to provide users with the adaptive network service to the changing context constraints as well as detecting the changing context and user's Preference. For instance, the open API can Provide users with QoS in network according to the detected context and user's preference, after detecting the context such as location and speed and user's preference.