• Journal of Information Technology Services
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• v.13 no.3
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• pp.309-321
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• 2014

Recently, due to the advent of ubiquitous computing and the spread of intelligent portable device such as smart phone, iPad and PDA has been amplified, a variety of services and the amount of information has also increased fastly. It is becoming a part of our common life style that the demands for enjoying the wireless internet are increasing anytime or anyplace without any restriction of time and place. And also, the demands for e-commerce and many different items on e-commerce and interesting of associated items are increasing. Existing collaborative filtering (CF), explicit method, can not only reflect exact attributes of item, but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, using a implicit method without onerous question and answer to the users, not used user's profile for rating to reduce customers' searching effort to find out the items with high purchasability, it is necessary for us to analyse the segmentation of customer and item based on customer data and purchase history data, which is able to reflect the attributes of the item in order to improve the accuracy of recommendation. We propose the method of recommendation system using association rule and weighted preference so as to consider many different items on e-commerce and to refect the profit/weight/importance of attributed of a item. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.721-724
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• 2017

Designing the User-Based Voluntary Service Recommendation Program proposed in this study was motivated by the fact that it is not easy for volunteers to find a place for their services. Even though there are many volunteer centers or organizations, volunteers often experience difficulty in where and how they should apply for their work as those places are not well promoted. Thus, this program has been designed by applying the mobile push services along with location technology. The authors plan to introduce the program to the public as an open source by implementing the program with both Android and Python - hoping that the program will be useful to the users and volunteer organizations.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.345-346
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• 2018

본 논문에서는 사용자의 위치 정보를 입력받아 근처에 위치한 식당이나 어트랙션 장소를 추천하는 사이트를 구현하고 이를 제안한다. 웹 페이지를 통해 사용자의 위치정보를 입력 받고, SNS에서 추천하는 장소를 크롤링하여 데이터베이스를 구축하고 분석하여 식당과 어트랙션 장소를 추천해 준다. 추천 장소는 사용자에게 지도를 이용하여 그 위치를 보여주며 지도 위에 추천 장소의 간략 정보를 표시한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1407-1414
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• 2016

In this study, we develop that Location Recommending System using personal emotion information based on Collaborative Filtering. Previous Location Recommending System recommended a place visited by the user of the rating or the pattern of location for the user place. These systems are not high user satisfaction because that dose not consider the user status or have not objectively the information. Using user's personal emotion information to recommend a high-affinity users who have visited the place felt similar emotions objectively can improve user satisfaction with the place. In this study, a user using a mobile application directly register the recognized emotion information using the current position and bio-signal, and using the registered information measuring the similarity of user with a similarity emotion, predicts a preference for the place it is recommended to emotional place. The system consists of a user interface, a database, a recommendation module.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.3 no.1
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• pp.23-30
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• 2005

From measured results of the neutron fields at some principal places within the containment building in a CE type nuclear power plant in operation, the radiation exposure of a worker to the neutron at there was evaluated and the equivalent dose reflecting new recommendation (ICRP 60) was compared with that doing the old one (ICRP 26). The measured neutron field was also compared with calibration neutron field. From the analysis, the following conclusion was obtained: the average neutron radiation weighting factor according to new recommendation is 2.41 to 2.71 times higher than the old one. The average neutorn radiation weighting factor at the measured place was similar to that at calibration neutron field. The average neutron energy at measured place was between 42 and 158 keV and higher than that of calibration field of 500 keV. So, the measured equivalent dose in nuclear power plant could be overestimated compared to the real equivalent dose.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.49-53
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• 2017

In this paper we present the combination of location based mobile advertisement services and dynamic digital signage markets has been developing recent days to provide consumer admired visual mobile advertisement on all kind transportation vehicles. In spite of that, the digital signage advertisement content management is still not that easy to manage the content dynamically as well operation is most time consuming to handle the contents dynamically in digital signage business. As location based services is most impactful service in shopping, the location responsive advertisement on vehicle signage will be most desirable mobile advertisement to help people migrate from one place to another place for travel or stay. This paper propose a mobile location responsive digital signage system for vehicles using the GPS and wireless infrastructure integrated with digital signage system. This proposed research use the centralized digital signage system architecture for the mobile advertisement application and this system can be expanded to different vehicles for digital advertisement including buses, trucks, train, air vehicle and any other form of mobile advertising vehicles. Also, this present an effective advertisement recommendation algorithm, by which the advertisement can be selected broadcasted for the right advertisement ventures more effectively as the service requested from advertiser. This paper present the emulated experimental result to evidence the proposed dynamic vehicle signage system performed better than compared with traditional signage random advertising. The emulated result proves that the advertisement recommendation algorithm can effectively works out the targeted key audiences in location responsive region the algorithm evaluated.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.251-262
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• 2015

This study checks the conceptual definition of domestic book curation which is still in the beginning stage, the necessity of developing service and business, domestic and overseas case of relevant service. Further, the problem of book recommendation service and the difficulty anticipated in the embodiment of service are investigated together and the business model as new IT service is suggested to supplement them. Specifically, the collection of book information and customer information (interest and purchase pattern) and the procedure of mining the collected information and the process of embodying visualization was presented in the sector of service in the first place. Then, the technical transfer of developed solution and the construction cost and the method to impose commission over contents sales are presented in the sector of business. Diverse social and economic effects are expected to realize by developing and utilizing such services, namely, promoting the distribution of excellent book which were kept in dead storage so far due to lack of marketing support, recommendation readers the proper books which are convenient and necessary.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.215-223
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• 2019

The study aims to investigate the recommendation and revisit intentions of foreign tourists in Ho Chi Minh city, Vietnam through their satisfaction with local foods. The study proposed the group of five attributes for food image: taste, health concern, price, serving style, vendor/ restaurant staffs. The relationship between these attributes of food image and food satisfaction, as well as the one between food satisfaction and behavioral intentions were investigated. To ensure a high ratio of answers, a face-to-face survey was conducted in famous places at Ho Chi Minh city. Data with 210 foreign tourists. The study uses the methods of descriptive statistics, EFA, Cronbach Alpha and regression. The results showed that Five attributes of food image were chosen for the research, being taste, health concern, price, serving style and vendors/ restaurant staffs. All of these attributes showed a positive relationship with satisfaction. Among five factors, taste had the most impact on food satisfaction. Through the analysis of several attributes of food images, this study provides managerial implications for tourism marketers in researching the positive influence of food image on tourists' satisfaction which leads to their positive word-of-mouth and return to the tourism place.

• The Research Journal of the Costume Culture
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• v.7 no.1
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• pp.141-153
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• 1999

To be successful, Korean exporters must understand how importers identify and select suppliers. This empirically based study investigate Korean exporter\`s perceptions of the supply selection criteria and information sources in US importers use. The specific purposes of this study were to identify the importance of the supply selection criteria and information sources and to examine the effects of the amount of export on the supply selection criteria and information sources in US importer use. For this study, data were obtained from Korean exporters by means of self-administered questionnaires. The questionnaires consisted of a series of statements covering a broad of specific selection criteria and information sources and exports\` characteristics including average annual amount of export. Using a base of 312 exporters, data were analysed by using mean, one-way ANOVA, and Ducan test. Major findings if this study summarized as follows; 1) Korean exporters perceived that US importers would place importances on product price, deliverly reliability, product wordsmanship-quality, and length of deliverly lead-time, in orders. Also, the more amount of export was, the higher product wordsmanship-quality, availability of piece goods and trims, and communication channel were importantly rate. 2) Korean exporters considered the third party sources, such as recommendation from trade association and buying office and import agency, as the most important information source in US importer use. Also, There was tendency that the more amount of export was, the more information sources on suppliers was importantly evaluated. From this study, several recommendation were suggested forward to encourage export in international apparel market.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.25-34
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• 2017

With the recent spread of smartphones and the introduction of web services, online users can access large-scale content regardless of time or place. However, users have had trouble finding the content they wanted among large-scale content. To solve this problem, user modeling and content recommendation system have been actively studied in various fields. However, in spite of active changes in senior groups according to the changes in information environment, research on user modeling and content recommendation system focused on senior groups are insufficient. In this paper, we propose a method of modeling smart senior based on their preference, and further develop a smart senior classification model using machine learning methods. As a result, we can not only grasp the preferences of smart seniors, but also develop a smart senior classification model, which is the foundation for the research of a recommendation system which will provide the activities and contents most suitable for senior groups.