• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.123-133
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• 2018

This paper examined how the millennial generation consumes mobile news through social networking sites with regards to user patterns, preference topics and news values, and whether news topics and news values may influence their overall mobile SNS news consumption and interactivity. The findings show that more than 2/3 of respondents consumed mobile SNS news at least once everyday for 30minutes to one-hour. Male millennials tended to use Facebook and Kakao-talk more than female. While the portal site was the most accessed channel for consuming mobile news, SNS was the second, more than the combined use of national daily papers, TV, and internet newspapers. The respondents' demographic characteristics and news topics also affect the form and degree of news interactivity. With regards to their preferences and prioritization of news values, millennials tend to perceive 'impact' and 'usefulness' as being most important, despite the differences of their demographic characteristics. They also preferred those news values most. There were significant differences in terms of preferred news topics according to the demographics' characteristics.

• 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 the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.27-39
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• 2006

The Collaborative Filtering (CF) is one of the popular techniques for personalization in e-commerce storefronts. For CF-based recommendation, every customer needs to provide subjective evaluation ratings for some products based on his/her preference. Also, if an e-commerce site recommends a new product, some customers should rate it. However, there is no in-depth investigation on the impacts on recommendation performance of two number of ratings, i.e. the number of ratings of an individual customer and the number of ratings of an item, even though these are important factors to determine performance of CF methods. In this study, using publicly available EachMovie data set, we empirically investigate the relationships between the two number of ratings and the performance of CF. For the purpose, three analyses were executed. The first and second analyses were performed to investigate the relationship between the number of ratings of a particular customer and the recommendation performance of CF. In the third analysis, we investigate the relationship between the number of ratings on a particular item and the recommendation performance of CF. From these experiments, we can find that there are thresholds in terms of the number of ratings below which the recommendation performances increase monotonically. That is, the number of ratings of a customer and the number of ratings on an item are critical to the recommendation performance of CF when the number of ratings is less than the thresholds, but the value of the ratings decreases after the numbers of ratings pass the thresholds. The results of the experiments provide insight to making operational decisions concerning collaborative filtering in practice.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.145-160
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• 2015

The purpose of this study is to develop cultural tourism products of Jeju Free International City, utilizing the images of its blessed natural environment listed on the UNESCO World (Natural) Heritage Site. To do this, the concept of cultural tourism products is defined, and the current situation and features of Jeju cultural tourism products are closely researched and examined, and then through survey study, responded by Jeju residents and tourists, purchasing behaviors, consumer preferences of Jeju tourists, and improvement plans for tourism products are examined in detail. According to the survey, the important elements for cultural tourism products of Jeju are extracted and employed in the development of tourism T-shirts, and the developing process of souvenir shirt designs using the unique images of Jeju are presented. Five textile pattern designs, based on the nature images of Jeju 'gotjawal' forests, are created and employed in 5 souvenir shirt designs, and this led to the development of 10 styles of tourism souvenir shirts. With their trendy design embodying unique images of Jeju, practicality, and functionality, these shirts are not just for tourists visiting Jeju but also for everybody, any age, and anywhere. The suitability and validity of the designs as the cultural tourism products representing Jeju are evaluated by consumer preference survey. Through this study, the infinite possibility of developing cultural tourism products utilizing unique natural environments of Jeju are confirmed. Development of tourism souvenir shirts reflecting the current fashion trends and tourists' tastes can be led to the construction of positive images of Jeju, the success in attracting tourists, and, eventually, market extension for cultural tourism products.

• Convergence Security Journal
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• v.15 no.5
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• pp.87-95
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• 2015

Recently, The cloud computing technology is emerging as an important issue in the world, and In technology and services, has attracted much attention. Cloud services have evolved from simple forms to complex forms(using multiple mobile devices and communication services(Kakao talk, Facebook, etc.). In particular, as the cloud is especially facilitated the collection of user information, it can now be analyzed with the user's taste and preference. And many of the benefits of the cloud became increasingly closely with our lives. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the Hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed through case studies of attack and vulnerability to the privacy threats factors of the cloud computing services. and In the future, this is expected to be utilized as a basis for the Privacy security and Response.

• Journal of Microbiology and Biotechnology
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• v.22 no.12
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• pp.1724-1730
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• 2012

An ${\alpha}$-L-arabinofuranosidase (TmAFase) from Thermotoga maritima MSB8 is a highly thermostable exo-acting hemicellulase that exhibits a relatively higher activity towards arabinan and arabinoxylan, compared with other glycoside hydrolase 51 family enzymes. In the present study, we carried out the enzymatic characterization and structural analysis of TmAFase. Tight domain associations found in TmAFase, such as an inter-domain disulfide bond (Cys306 and Cys476) in each monomer, a novel extended arm (amino acids 374-385) at the dimer interface, and total 12 salt bridges in the hexamer, may account for the thermostability of the enzyme. One of the xylan binding determinants (Trp96) was identified in the active site, and a region of amino acids (374-385) protrudes out forming an obvious wall at the substrate-binding groove to generate a cavity. The altered cavity shape with a strong negative electrostatic distribution is likely related to the unique substrate preference of TmAFase towards branched polymeric substrates.

• Korean Institute of Interior Design Journal
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• v.21 no.5
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• pp.85-97
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• 2012

This study is aimed to identify the color characteristics of the current Korean Brand Apartment, focused on the color of kitchens and dining rooms in the cyber model houses. The Brands which were selected for this study ranked from first to fifth in the contractor ranking and now account for 64 percent of the apartments in sale in Seoul and Gyeonggi Province. In addition, the size between $99m^2$ and $165m^2$ were selected, because it was most preferred at the 2011 survey for user preference on the size of apartment. As this study is for the colors shown on the monintor, colors were extracted from the images of web site with L*, a*, b*. And then, they were converted to Munsell values through computer program, which values were used to identify the color characteristics of hue, tone and to apply the theory of Moon Spencer. The result of the study on the color characteristics of the kitchen and dining room of the five brands' apartments is as follows. Regarding the color use, most of the brands used Y and YR color while as the accent color, P, PB and G were used. This result of main color use for hue was same as the guideline by the literature review, but color for tone showed the difference between brands and the difference between sizes. Next, regarding the color combination, first ambiguity of color harmony was shown the most. And the larger the size was, the more the contrast of color harmony was shown. It means that the color tone had close relation with the sizes of households.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.1
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• pp.13-24
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• 2015

Busan Metropolitan City lacks leisure-oriented spaces for children compared to other cities. Furthermore, it is difficult to maintain the amusement facilities for children scattered around the city due to the fact that they were worn out. To set up a leisure-oriented park for children on the site for children amusement facilities, the present study is concerned about planning children amusement facilities for public use compatible with the new trend for children amusement facilities. For this purpose, a number of case studies, carried out domestic and abroad on developing children amusement facilities, were examined to choose appropriate facilities and feasible project plans were drawn up. Major findings of the study are as follows. First, it is strongly suggested that this project should be promoted because it is a leading pilot project for building children theme parks for each zone in Busan Metropolitan City. Second, it is suggested that field study programs should be run in connection with Busan Metropolitan City Office of Education.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.59-64
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• 2019

This study used the Google Trends site to analyze selection information that users expect from prominent Toothbrushes and Toothpastes through related search keywords that users wanted to obtain. From 2006 to 2018(sep), searches for Toothbrushes and Toothpastes were arranged in the order of popularity of related searched words. The total number of searches words exposed was each 25, total 325 collected. The analysis was conducted using two methods, first, by search function. second, by a word network using a Big Data program. The study has shown that toothbrushes there are high expectations for brands, toothpaste there are high expectations in the function. In order to increase the motivation for oral health education, it is recommended to use and provide knowledge about the brand of toothbrushes and Toothpastes by the function.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.201-206
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• 2019

While many users searched for insurance information online, there were not many cases of contents recommendation researches on insurance companies' websites. Therefore, this study proposed a page recommendation system with high possibility of preference to users by utilizing page visit history of insurance companies' websites. Data was collected by using client-side storage that occurs when using a web browser. Collaborative filtering was applied to research as a recommendation technique. As a result of experiment, we showed good performance in item-based collaborative (IBCF) based on Jaccard index using binary data which means visit or not. In the future, it will be possible to implement a content recommendation system that matches the marketing strategy when used in a company by studying recommendation technology that weights items.