• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.119-124
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• 2023

This paper proposes a new reference model that can represent data access with temporal locality and popularity bias. Among existing reference models, the LRU-stack model can express temporal locality, which is a characteristic that the more recently referenced data has, the higher the probability of being referenced again. However, it cannot take into account differences in popularity of the data. Conversely, the independent reference model can reflect the different popularity of data, but has the limitation of not being able to model changes in data reference trends over time. The reference model presented in this paper overcomes the limitations of these two models and has the feature of reflecting both the popularity bias of data and their changes over time. This paper also examines the relationship between the cache replacement algorithm and the reference model, and shows the optimality of the proposed model.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.191-210
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• 2014

As mobile devices that can be connected to the Internet have spread and networking has become possible whenever/wherever, the Internet has become central in the dissemination and consumption of news. Accordingly, the ways news is gathered, disseminated, and consumed have changed greatly. In the traditional news media such as magazines and newspapers, expert editors determined what events were worthy of deploying their staffs or freelancers to cover and what stories from newswires or other sources would be printed. Furthermore, they determined how these stories would be displayed in their publications in terms of page placement, space allocation, type sizes, photographs, and other graphic elements. In turn, readers-news consumers-judged the importance of news not only by its subject and content, but also through subsidiary information such as its location and how it was displayed. Their judgments reflected their acceptance of an assumption that these expert editors had the knowledge and ability not only to serve as gatekeepers in determining what news was valuable and important but also how to rank its value and importance. As such, news assembled, dispensed, and consumed in this manner can be said to be expert-based recommended news. However, in the era of Internet news, the role of expert editors as gatekeepers has been greatly diminished. Many Internet news sites offer a huge volume of news on diverse topics from many media companies, thereby eliminating in many cases the gatekeeper role of expert editors. One result has been to turn news users from passive receptacles into activists who search for news that reflects their interests or tastes. To solve the problem of an overload of information and enhance the efficiency of news users' searches, Internet news sites have introduced numerous recommendation techniques. Recommendations based on popularity constitute one of the most frequently used of these techniques. This popularity-based approach shows a list of those news items that have been read and shared by many people, based on users' behavior such as clicks, evaluations, and sharing. "most-viewed list," "most-replied list," and "real-time issue" found on news sites belong to this system. Given that collective intelligence serves as the premise of these popularity-based recommendations, popularity-based news recommendations would be considered highly important because stories that have been read and shared by many people are presumably more likely to be better than those preferred by only a few people. However, these recommendations may reflect a popularity bias because stories judged likely to be more popular have been placed where they will be most noticeable. As a result, such stories are more likely to be continuously exposed and included in popularity-based recommended news lists. Popular news stories cannot be said to be necessarily those that are most important to readers. Given that many people use popularity-based recommended news and that the popularity-based recommendation approach greatly affects patterns of news use, a review of whether popularity-based news recommendations actually reflect important news can be said to be an indispensable procedure. Therefore, in this study, popularity-based news recommendations of an Internet news portal was compared with top placements of news in printed newspapers, and news users' judgments of which stories were personally and socially important were analyzed. The study was conducted in two stages. In the first stage, content analyses were used to compare the content of the popularity-based news recommendations of an Internet news site with those of the expert-based news recommendations of printed newspapers. Five days of news stories were collected. "most-viewed list" of the Naver portal site were used as the popularity-based recommendations; the expert-based recommendations were represented by the top pieces of news from five major daily newspapers-the Chosun Ilbo, the JoongAng Ilbo, the Dong-A Daily News, the Hankyoreh Shinmun, and the Kyunghyang Shinmun. In the second stage, along with the news stories collected in the first stage, some Internet news stories and some news stories from printed newspapers that the Internet and the newspapers did not have in common were randomly extracted and used in online questionnaire surveys that asked the importance of these selected news stories. According to our analysis, only 10.81% of the popularity-based news recommendations were similar in content with the expert-based news judgments. Therefore, the content of popularity-based news recommendations appears to be quite different from the content of expert-based recommendations. The differences in importance between these two groups of news stories were analyzed, and the results indicated that whereas the two groups did not differ significantly in their recommendations of stories of personal importance, the expert-based recommendations ranked higher in social importance. This study has importance for theory in its examination of popularity-based news recommendations from the two theoretical viewpoints of collective intelligence and popularity bias and by its use of both qualitative (content analysis) and quantitative methods (questionnaires). It also sheds light on the differences in the role of media channels that fulfill an agenda-setting function and Internet news sites that treat news from the viewpoint of markets.

• Journal of Computing Science and Engineering
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• v.7 no.1
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• pp.21-29
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• 2013

The introduction of recommender systems to existing online services is now practically inevitable, with the increasing number of items and users on online services. Popular recommender systems have successfully implemented satisfactory systems, which are usually based on collaborative filtering. However, collaborative filtering-based recommenders suffer from well-known problems, such as popularity bias, and the cold-start problem. In this paper, we propose an innovative collaborative-filtering based recommender system, which uses the concepts of Experts and Novices to create fine-grained recommendations that focus on being novel, while being kept relevant. Experts and Novices are defined using pre-made clusters of similar items, and the distribution of users' ratings among these clusters. Thus, in order to generate recommendations, the experts are found dynamically depending on the seed items of the novice. The proposed recommender system was built using the MovieLens 1 M dataset, and evaluated with novelty metrics. Results show that the proposed system outperforms matrix factorization methods according to discovery-based novelty metrics, and can be a solution to popularity bias and the cold-start problem, while still retaining collaborative filtering.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.223-233
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• 2022

In this paper, we examined the causes of information privacy concerns, trust and related factors in social network services. On the basis of the 'elaboration likelihood model,' we established factors such as information quality, privacy policy, perceived SNS app popularity and optimism bias affecting information privacy concern of SNS users. In addition, we analyzed the relationship between information privacy concern, trust in SNS members, trust in SNS platform and intention to use. Finally, on the basis of the 'trust transfer theory', we analyzed the relationship between trust in SNS members and trust in SNS platform. The results of the study showed that (1) information quality, privacy policy and optimism bias had the significant effects on information privacy concerns, (2) perceived SNS app popularity didn't affect information privacy concerns, (3) information privacy concerns had the significant effects on trust in SNS platforms (4) in accordance with the trust transfer theory, trust in SNS members had the significant effect on trust in SNS platforms, and (5) trust in SNS members had the significant effect on intention to use, while trust in SNS platform didn't have the significant effect on intention to use. The findings of the study are expected to help to improve the SNS firms' understanding towards customers' information privacy protection behaviors and trust.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.1-18
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• 2021

Idol music, which began to gain huge popularity in the domestic music market in the mid-1990s, has become one of the major global contents thanks to the global popularity of K-POP. As a result, the Korean music market continues to grow, forming the world's sixth-largest music market, and domestic music agencies are focusing more on fostering idol groups and producing idol music. The global success of idol music is surprising, but this has resulted in the domestic music market being biased toward idol music. As a result of the study, it was confirmed that there are several problems with the phenomenon of being biased toward similar types of musicians and music content. First, just as trend-oriented cultural contents face the problem of life expectancy all the time, the "Korean Wave" is also forced to think in terms of identity and sustainability. Second, it was observed that only consumers of a certain age may cause cultural alienation of other age groups, and thirdly, various problems such as shrinking creative paths due to the size of the cost required for idol group production and the lifespan of idol musicians' art activities. This paper derives the reality of the domestic idol bias phenomenon through comparative analysis of the English-American music market and the domestic music market, which have had a profound influence on the global music market in popular music history, and verified the theory and results through an expert survey using the Likert scale. In addition, the problems caused by the idol bias phenomenon were considered based on the theory of cultural diversity, and improvement directions were also suggested to solve this problem.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.12-24
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• 2017

This paper analyzed the representation of migrants in television with the example of KBS's My Neighbor, Charles. This primetime TV show with consistent popularity has showcased different types of migrants from other Korean television shows in terms of gender and race, and, partly the difference brought popularity to it. This study finds the major reason of the difference from changed migration patterns in Korea. Until recently, the main population of immigrants in Korea was composed of female brides and workers, but it became diversified to include male and the West migrants. This triggered the changes in media representation, but not thoroughly. Though the faces of migrant protagonists have been diversified, the remaining ideology of nation-centric that has been the main frame to regard migrants as someone to be integrated through traditional values persists. This study finds a few conflicts between the traditional and the change. For example, represented realities of migrants are extends to include their activities in public domain, disputes of multicultural society such as social differentiation and bias, and the criticism of Korean traditional culture. In a gender perspective, while all the marriages represented showed different kinds of vulnerability, discourses of traditional familialism were also clearly presented through different tools of representation. This study aims at contributing existing studies of media representations of migrants with a more complicated pictures in the context of social changes and migration population changes.

• Journal of Convergence Korean Medicine
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• v.3 no.1
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• pp.5-13
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• 2022

Objectives: Smoking had a long negative impact on public health. The ingredients of a cigarette are major risk factors for several diseases. Owing to the problems about economic and quality of life, we need to ensure smoking cessation (SC). There are several approaches for SC including pharmacological therapy, nicotine replacement therapy, education, and behavioral intervention. However, due to some limitations, other alternative approaches are gaining popularity. Acupuncture has been reported to have few side effects and be more effective than some conventional treatments in several articles. However, there are no systematic reviews on the comparison of acupuncture combination treatment with other conventional monotherapies. Methods: Randomized controlled trials that used acupuncture as an adjunct treatment for SC will be searched and data will be summarized according to the predefined criteria. The primary outcome will be the abstinence rate, and secondary outcomes will be adverse events and biochemical indicators. We will use Review Manager to perform a meta-analysis, Cochrane Collaboration Risk of Bias tool for the risk of bias assessment, and the Grades of Recommendation, Assessment, Development and Evaluation approach to determine the quality of evidence. We will investigate the efficacy and safety of acupuncture combination treatment for SC with this study. Ethics and dissemination: This study will provide reliable clinical evidence on additional effect of acupuncture on smoking cessation. We will publish our results in a peer-review journal.

• Journal of Ecology and Environment
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• v.41 no.2
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• pp.34-44
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• 2017

Background: Monitoring terrestrial vegetation cover condition is important to evaluate its current condition and to identify potential vulnerabilities. Due to simplicity and low cost, point intercept method has been widely used in evaluating grassland surface and quantifying cover conditions. Field-based digital photography method is gaining popularity for the purpose of cover estimate, as it can reduce field time and enable additional analysis in the future. However, the caveats and uncertainty among field-based vegetation cover estimation methods is not well known, especially across a wide range of cover conditions. We compared cover estimates from point intercept and digital photography methods with varying sampling intensities (25, 49, and 100 points within an image), across 61 transects in typical steppe, forest steppe, and desert steppe in central Mongolia. We classified three photosynthetic groups of cover important to grassland ecosystem functioning: photosynthetic vegetation, non-photosynthetic vegetation, and bare soil. We also acquired normalized difference vegetation index from satellite image comparison with the field-based cover. Results: Photosynthetic vegetation estimates by point intercept method were correlated with normalized difference vegetation index, with improvement when non-photosynthetic vegetation was combined. For digital photography method, photosynthetic and non-photosynthetic vegetation estimates showed no correlation with normalized difference vegetation index, but combining of both showed moderate and significant correlation, which slightly increased with greater sampling intensity. Conclusions: Results imply that varying greenness is playing an important role in classification accuracy confusion. We suggest adopting measures to reduce observer bias and better distinguishing greenness levels in combination with multispectral indices to improve estimates on dry matter.

• Journal of Fashion Business
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• v.24 no.3
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• pp.121-137
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• 2020

This thesis makes it an aim to develop designs of Shinhanbok coats interpreting and applying the formative structure of the lattice window pattern in Huijeongdang of the Changdeokgung palace, one of the best architecture in Chosun dynasty. Literature review about the history and characteristics of the window of Huijeongdang of the Changdeokgung palace was performed on the basis of the internet resources and papers, and the examples of the fashion design applying the lattice window patterns were analyzed. Then, three style Shinhanbok coats were designed and presented with making use of 6 kind of lattice window patterns as its motif. The coats were designed in flexible size, attempting to clad any kind of body size and shapes. Design 1 drawn from Wanjasal, Tisal, Design 2 drawn from Ajasal, Yongjasal, Tisal, design 3 drawn from Bitsal, Jungjasal. In conclusion, lattice window patterns of the traditional beauty highlighted in view of modern times might be suggested as the motif for expressing the proportion with balance and rhythm with stability. The division of the space with the line was tried with the technique of the bias cutting, stitching and taping with the design of simplicity signified in the aesthetics of the vacant space in addition to its ornamental effects. Thus, this study would like to contribute to the popularity of the Shinhanbok outlined in modern application and unique taste through the study and applications of the traditional lattice window pattern of Korea.