• Journal of KIISE:Computing Practices and Letters
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• v.15 no.1
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• pp.38-46
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• 2009

With the rapid increase in the number of Web documents, the problem of information overload is growing more serious in Internet search. In order to ease the problem, researchers are paying attention to personalization, which creates Web environment fittingly for users' preference, but most of search engines produce results focused on users' queries. Thus, the present study examined the method of producing search results personalized based on a user's understanding level. A characteristic that differentiates this study from previous researches is that it considers users' understanding level and searches documents of difficulty fit for the level first. The difficulty level of a document is adjusted based on the understanding level of users who access the document, and a user's understanding level is updated periodically based on the difficulty of documents accessed by the user. A Web search system based on the results of this study is expected to bring very useful results to Web users of various age groups.

• The KIPS Transactions:PartC
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• v.13C no.2 s.105
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• pp.249-258
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• 2006

WebDAV is an IETF standard protocol, which is an extended version of HTTP 1.1, supporting asynchronous collaborative authoring of various contents on the web. Recently, to precisely control access to the resources on a WebDAY server, the WebDAV Access Control Protocol was published. This protocol helps developers to implement advanced server functionalities in a convenient way by providing various control methods to the resources on the WebDAV server. Based on the WebDAV access control protocol, we developed Open Workspaces, which systematically support exchanging and sharing data for general visitors. An Open Workspace can be supplied as a Download-Only Open Workspace, an Upload-Only Open Workspace, or an Upload-Download Open Workspace. Any registered user can create these workspaces without bothering the system administrator. To support the Open Workspaces, we extended the Slide WebDAV server and the DAVExplorer WebDAV client, which are being used popularly.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.65-73
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• 2007

This study devotes to compare the accuracy of Top-N recommendations of items transacted on the web site for customers with the accuracy of rank conformity of the real ratings with estimated ratings for customers preference about items generated from two types of collaborative filtering algorithms. One is Neighborhood Based Collaborative Filtering Algorithm(NBCFA) and the other is Correspondence Mean Algorithm(CMA). The result of this study shows the accuracy of Top-N recommendations and the rank conformity of real ratings with estimated ratings generated by CMA are better than that of NBCFA. It would be expected that the customer's satisfaction in Recommender System is more improved by using the prediction result from CMA than NBCFA, and then Using CMA in collaborative filtering recommender system is more efficient than using NBCFA.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.99-108
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• 2022

As the demand for kiosks increases, more users complain of discomfort. Accordingly, a kiosk that enables easy menu selection and order by producing a voice-based interactive service is produced and provided in the form of a web. It implements voice functions based on the Annyang API and SpeechSynthesis API, and understands the user's intention through Dialogflow. And discuss how to implement this process based on Rest API. In addition, the recommendation system is applied based on collaborative filtering to improve the low consumer accessibility of existing kiosks, and to prevent infection caused by droplets during the use of voice recognition services, it provides the ability to check the wearing of masks before using the service.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.212-215
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• 2008

e-AIRS, an abbreviation of 'e-Science Aerospace Integrated Research System,' is a virtual organization supporting CFD(computational fluid dynamics) simulations, remote experimental service, and collaborative and integrative study between computation and experiment. e-AIRS works on the e-Science environment and research process is accomplished through the web portal. By the system development since 2005, a stable education system with the full support on fluid dynamics is successfully established and utilized to various fluid dynamic lectures in universities. By using e-AIRS system during a lecture, students can conduct the full CFD simulation process on the web and inspect the wind tunnel experiment via Access Grid. This kind of interactive lecture makes students to have a deeper understanding on the physics of fluid, as well as the characteristics of numerical techniques. The current paper will describe system components of e-AIRS and its utilization on education.

• Korean Journal of Computational Design and Engineering
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• v.5 no.4
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• pp.373-379
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• 2000

This paper deals with the study of distributed design system and the implementation of JAVA based initial design system using CORBA/sup [1-3]/. In the state of initial design, designer should consider other information related to a design part. In this case, designer has a difficult problem to search and calculate distributed data. We propose a special connector named ‘Allocator’and implement an initial design system AIDS(Agent based Initial Design system). AIDS can help designer search and calculate the distributed information. In this study, JAVA and CORBA were chosen for handling network and distribute programming. AIDS focuses on the possibility of incremental concurrent design capability. AIDS is comported of Request-Agent, Calculator-Agent, View-Agent, Search-Agent, and ‘Allocator’. The proposed system can be used for designing initial design of a gripper in the web regardless of operating system.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.611-615
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• 2006

CoSlide서버는 협업지원 시스템 서버로서 WebDAV 기반의 Jakarta Slide 서버를 확장한 것이다. 협업지원 시스템은 원거리의 사용자들이 협업을 필요로 하는 업무를 수행하기 위해서 작업그룹을 형성하는데 필요한 시스템이다. WebDAV는 웹상에서 분산 저작을 지원하도록 HTTP를 확장한 IETF 표준 프로토콜이다. 현재 WebDAV 기반의 자원 관리가 널리 사용되면서 WebDAV 기반 응용프로그램들이 개발되고 있다. 본 논문에서는 CoSlide라는 WebDAV 기반의 협업시스템을 지원하는 리눅스 클라이언트의 개발에 대하여 기술한다. 개발된 리눅스 클라이언트는 편리한 GUI 기반의 사용자 인터페이스를 제공하며 그룹멤버들과의 상호작용을 원활하게 지원한다. 클라이언트 사용자는 협업시스템 서버에 등록한 자원의 관리와 새로운 그룹작업장을 생성하고 생성한 그룹작업장에 다른 사용자를 초대하거나 다른 그룹작업장에 참가요청을 할 수 있다. 그룹작업장의 생성자는 그룹작업장의 관리자로서 참가 요청한 사용자를 참가시키거나 불참시킬 수 있다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.19-29
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• 2010

A marketing model is changed from a customer acquisition to customer retention and it is being moved to a way that enhances the quality of customer interaction to add value to our customers. Such personalization is emerging from this background. The Web site is accelerate the adoption of a personalization, and in contrast to the rapid growth of data, quantitative analytical experience is required. For the automated analysis of large amounts of data and the results must be passed in real time of personalization has been interested in technical problems. A recommendation algorithm is an algorithm for the implementation of personalization, which predict whether the customer preferences and purchasing using the database with new customers interested or likely to purchase. As recommended number of users increases, the algorithm increases recommendation time is the problem. In this paper, to solve this problem, a recommendation system based on clustering and dimensionality reduction is proposed. First, clusters customers with such an orientation, then shrink the dimensions of the relationship between customers to low dimensional space. Because finding neighbors for recommendations is performed at low dimensional space, the computation time is greatly reduced.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.646-653
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• 2016

Outbound market is a rapidly growing global industry, and has evolved into a 11 trillion won trade. A lot of recommender systems, which are based on collaborative and content filtering, target the existing purchase log or rely on studies based on similarity of products. These researches are not highly efficient as data was not obtained in advance, and acquiring the overwhelming amount of data has been relatively slow. The characteristics of an outbound product are that it should be purchased at least twice in a year, and its pricing should be in the higher category. Since the repetitive purchase of a product is rare for the outbound market, the old recommender system which profiles the existing customers is lacking, and has some limitations. Therefore, due to the scarcity of data, we suggest an improved customer-profiling method using web usage mining, algorithm of association rule, and rule-based algorithm, for faster recommender system of outbound product.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.219-226
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• 2011

Web personalization has focused on extracting web pages interesting to users, to help users searching wanted information efficiently on the web. One of the main methods to achieve this is by using queries, links and users' preferred words in the pages. In this study, we surveyed from the web users the features of pages that are considered important to themselves in selecting web pages. The survey results showed that the content of the pages is the most important. However, images and readability of the page are rated as high as the content for some users. Based on this result, we present a method for maintaining relative weights of major page features differently in the profile for each user, which is used for personalizing web search results. Performance of the proposed personalization method is analyzed to prove its superiority such that it yields as much as 1.5 times higher rate than the system utilizing both queries and preferred words and about 2.3 times higher rate than a generic search engine.