• Journal of Korean Society of Archives and Records Management
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• v.20 no.3
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• pp.119-138
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• 2020

Today's information services in most archival institutions implement the same administrative procedures for general users and academic researchers, leading to issues hindering the latter's research activities. As such, this study presents a direction for the effective provision of information services by investigating and analyzing information sources mainly used by academic researchers, who are one of the major user groups; researchers' use behaviors in archival institutions; and experiences and perceptions on the such institutions' information services. In particular, surveys and interviews were conducted, and 75 questionnaire responses and 8 interview results were analyzed. The results of the analysis were summarized into the researcher's background information, information sources used, behaviors in using archival institutions' services, information service utilization, improvement requirements, and desired services. Through the results' implications, plans for the provision of information services by archival institutions were proposed based on the researchers' needs and preferences.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.156-163
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• 2006

CF systems are widely used in recommendation due to the easy implementation and the outstanding performance. They have several problems such as the sparsity problem, the first-rater problem, and recommending explanation. Many studies are suggested to resolve these problems. While the influence of the sparsity problem lessens as the users' data are accumulated, but the first-rater problem is originated from the CF systems and there are a number of researches to overcome the disadvantages of CF systems based on the content-based methods. Also CF systems are black boxes, providing no explanation of working of the recommendation. In this paper we present a content-based prediction system based on the preference words, which exposes the reasoning behind a recommendation. Our system predicts user's rating of a new movie and we suggest a semiotic network-based method to solve the mismatching problem between the items. For experimental comparison, we used EachMovie and IMDb dataset.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.571-574
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• 2005

XCAP(XML Configuration Access Protocol) which has been proposed in IETF is based on both XML and HTTP protocol. XCAP server maintains user's configuration information for specific application which is described by XML. This protocol can be applied to many application servers for adapting user's preferences. There can be many way to interwork with other application servers. In this paper, we will talk about the experience of designing and implementation of XCAP server and the way of interwork with application servers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2073-2080
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• 2015

Even though users choose goods they want to buy in on-line shopping malls, real purchase is often performed in off-line shopping malls. It is called reverse showrooming. It means that users' analysis of goods based on images and description of internet shopping malls has limitation. Thus, large-scale online shopping malls provide a customized shopping information. However, in that case, the provided information is a simple list of goods users bought or retrieved. Thus, a system to analyze various needs of users and apply the result into on-line shopping mall is necessary. In this paper, an analysis system is proposed. The system contains a module to analyze user defined preference and a module to analyze users' reviews. The former designates two goods and collects preferences of individual users. the latter analyzes reviews about purchased goods based on database dictionary stored in advance for analyzing reviews. The system implemented shows that it is possible to recommend some goods that meet each users's needs

• Journal of KIISE:Software and Applications
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• v.32 no.1
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• pp.34-40
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• 2005

Despite the wide range of information and engineering visualization techniques available, studies in investigating the effectiveness of the techniques in visualization has been rare. The typical visualization techniques were CAD, 2D and 3D computer graphics, and virtual environment (VE) that use 3D displays of 3D. space. The objects of this study is to analyze the user preferences and workload changes according to the visualization methods of engineering drawings such as 2D CAD, 2D computer graphics, 3D computer graphics, and augmented reality which is a variation of VEs. The results showed that users preferred 3D visualization techniques to 2D visualization techniques, though there were no workloads differences. Furthermore, the 3D perspective of AR which analogies the real world could facilitate the interpretation of engineering drawings.

• Korean Institute of Interior Design Journal
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• v.17 no.3
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• pp.111-122
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• 2008

As Korea has undergone rapid modernization, urbanization and industrialization, women's social participation has increased. Accordingly, child care facilities have shown continuous growth in numbers. However, according to research, child care facilities in Korea lag behind those in other nations in terms of quality. Given that, it seem urgent to enhance the quality of child care facilities and improve their indoor environment. Above all, overall atmosphere, colors and finishing materials are connected directly with educational effects as well as feelings and health of facility users. This study assesses the current state of child care facilities and preferences by focusing primarily on interior atmosphere, materials and colors. For This Study, 7 facilities were surveyed, and 46 subjects were participated for this study. The findings suggest that "pretty" style is preferred to "natural" style. As regards flooring material, wood floor is preferred. It is recommended to lay pastel colored carpet or PVC flooring material to the wood floor. As for wall, it is desirable to divide the wall spaces by adding wood and painting to simple wallpapers. In case of the ceiling noise absorptive material is recommended to use instead of wallpapers. For the doors, it is desirable to use contrasting materials and colors given accessibility for children. In the meantime, rather than strong primary colors, soft color or pastel colors are desirable for furniture. This study has limitations because of insufficiency of case study samples. However, it is significant in that the study results may be used as primary source of information to improve the environment of child care facilities.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.171-182
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• 2019

As online shopping malls continue to grow in popularity, various chances of consumption are provided to customers. Customers decide the purchase by exploiting information provided by shopping malls such as the reviews of actual purchasing users, the detailed information of items, and so on. It is required to provide objective and reliable information because customers have to decide on their own whether the massive information is credible. In this paper, we propose a personalized recommendation method considering an item confidence to recommend reliable items. The proposed method determines user preferences based on various behaviors for personalized recommendation. We also propose an user preference measurement that considers time weights to apply the latest propensity to consume. Finally, we predict the preference score of items that have not been used or purchased before, and we recommend items that have highest scores in terms of both the predicted preference score and the item confidence score.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.125-134
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• 2021

With the rapid development of the film industry, the number of films is significantly increasing and movie recommendation system can help user to predict the preferences of users based on their past behavior or feedback. This paper proposes a movie recommendation system based on the latent factor model with the adjustment of mean and bias in rating. Singular value decomposition is used to decompose the rating matrix and stochastic gradient descent is used to optimize the parameters for least-square loss function. And root mean square error is used to evaluate the performance of the proposed system. We implement the proposed system with Surprise package. The simulation results shows that root mean square error is 0.671 and the proposed system has good performance compared to other papers.

• The Korean Journal of Applied Statistics
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• v.33 no.6
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• pp.833-842
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• 2020

Global platforms such as Netflix, Amazon, and YouTube have developed a precise recommendation system based on various information from large set of customers and many of the items recommended here are leading to actual purchases. In this paper, a cluster analysis was conducted according to the attribute of the content, expecting that there would be a difference in user preferences according to the attribute of the recommended content. Gower distance was used for use regardless of the type of variables. In this paper, using the data of movie rating site 'The Movie Dataset', the users were grouped hierarchically and recommended movies based on genre, director and actor variables. To evaluate the recommended systems proposed, user group was divided into train set and test set to examine the precision. The results showed that proposed algorithms have far higher precision than UBCF.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.208-210
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• 2021

As the number of objects connected to the Internet increases rapidly, intelligent device development projects are gradually expanding that provide direct value to humans, away from simple monitoring functions, including sensors and communication functions, or delivery to servers.It is expected that the device will develop a technology that analyzes surrounding sensing information and changes the surrounding environment in consideration of users' preferences or safety. By establishing a biosignal measurement system in a developed product that can bring various effects using air, it will be possible to grasp the user's condition through a pattern of change in pressure distribution when seated. This paper proposes a construction system that enhances the comfort of using an air car seat through contact between a temperature measurement sensor and a user, and enables effective management of measured biosignals by linking them with an air pump control system.