• Journal of Community Nutrition
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• v.8 no.2
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• pp.102-106
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• 2006

The purposes of this study were to investigate the effects of the popularity of menu items in nutrient consumption of school-aged children participating in a School Breakfast Program. The weighed plate waste method was used to determine the nutrient intake of students. The nutrient intake was evaluated based on the popularity of the menu item, gender, and grades. The average intakes of all nutrients except energy, fiber, and sodium were well within the goals. Actual nutrient intake varied based upon the popularity of $entr{\acute{e}}es$ and the popularity of menu items was a main effect in nutrient content of meals. When the most popular $entr{\acute{e}}es$ were served, school-aged children's energy intake and School Breakfast Program participation rate increased. Saturated fat and sodium intakes also were higher than the goal when the most popular $entr{\acute{e}}es$ were served. The significant main effect was grades for total fat (p < 0.05) and calcium (p < 0.05), which was qualified by the two-way interaction between gender and grades for saturated fat (p < 0.05), protein (p<0.1), iron (p<0.01), vitamin C (p<0.01) and carbohydrates (p<0.001). Gender itself was not a significant main effect. Based on the findings, the suggestions for educating school-aged children on more healthful breakfast food choices and reformulating recipes for the popular $entr{\acute{e}}es$ are made. (J Community Nutrition 8(2): 102-106, 2006)

• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.113-120
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• 2012

Today, Internet users can easily create and share the digital contents with others through various online content sharing services such as YouTube. So, many portal sites are flooded with lots of user created contents (UCC) in various media such as texts and videos. Estimating popularity of UCC is a crucial concern to both users and the site administrators. This paper proposes a method to predict the popularity of Internet articles, a kind of UCC, using the dynamics of the online contents themselves. To analyze the dynamics, we regarded the access counts of Internet posts as the popularity of them and analyzed the variation of the access counts. We derived a model to predict the popularity of a post represented by the time series of access counts, which is based on an exponential function. According to the experimental results, the difference between the actual access counts and the predicted ones is not more than 10 for 20,532 posts, which cover about 90.7% of the test set.

• 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.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.40-51
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• 2012

Online discussion bulletin in Korea is not only a specific place where user exchange opinions but also a public sphere through which users discuss and form public opinion. Sometimes, there is a heated debate on a topic and any article becomes a political or sociological issue. In this paper, we propose how to analyze the popularity of articles by collecting the information of articles obtained from two well-known discussion forums such as AGORA and SEOPRISE. And we propose a prediction model for the article popularity by applying the characteristics of subject articles. Our experiment shown that the popularity of 87.52% articles have been saturated within a day after the submission in AGORA, but the popularity of 39% articles is growing after 4 days passed in SEOPRISE. And we observed that there is a low correlation between the period of popularity and the hit count. The steady increase of the hit count of an article does not necessarily imply the final hit count of the article at the saturation point is so high. In this paper, we newly propose a new prediction model called 'baseline'. We evaluated the predictability for popular articles using three models (SVM, similar matching and baseline). Through the results of performance evaluation, we observed that SVM model is the best in F-measure and precision, but baseline is the best in running time.

• Korean Journal of Child Studies
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• v.3
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• pp.63-81
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• 1982

The purpose of this study is to relate social behaviors and child-rearing practices to the popularity of preschool children in Korea. Specifically, four major questions were raised and studied First, the relationship between a child's popularity and his/her social behaviors was examined. Second, this relationship was explored as a function of the child's sex. Third, the relationship between a child's popularity and maternal childrearing practices was investigated. Fourth, this relationship was explored as a function of the child's sex. The subjects of this study were 113 middle class preschool aged children and their mothers. Sociometric choices and peer-perceived social behaviors were obtained from these children using Moore's (1973) Sociometric Status Test. Mothers of these children described their childrearing practices in a Q-sort format of Child-Rearing Practices Report (CRPR) developed by Block (1965). The analyses of the data using Kendall's Tau Correlation Coefficient bore the following results: 1. Patterns of social behaviors shown by either popular or unpopular children were distinct; Popular children were friendly and conformative, while unpopular children were aggressive, non-conformative and independent. 2. Patterns of social behaviors in relation to the popularity and the unpopularity differed as a function of the child's sex; Popular boys tended to be active while popular girls were likely to be unaggressive, independent and not-teasing. Unpopular boys showed a great amount of discipline their daughters by means of non-punitive punishment and to express negative reaction to the sibling rivalry among their children. These mothers tended not to enjoy their 3. Certain patterns of maternal child-rearing practices tended to be related to the popularity status of the child; The mothers of popular children as compared to those of unpopular children enjoyed their roles as mothers and didn't use non-punitive punishment. 4. Patterns of maternal child-rearing practices in relation to the child's popularity and unpopularity differed as a function of the child's sex; The mothers of popular boys unlike those of popular girls tended to emphasize on their sons' achievement and perceived that their husbands were greatly involved with their sons. The mothers of unpopular boys appeared to show negative affection toward their sons. The mothers of unpopular girls were likely to displine their daughters by means of non-punitive punishment and to express negative reaction to the sibling rivalry among their children. These mothers tended not to enjoy their roles as mothers and did not believe that their daughters would behave as they should.

• ETRI Journal
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• v.36 no.5
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• pp.819-828
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• 2014

To solve the increasing popularity of video streaming services over the Internet, recent research activities have addressed the locality of content delivery from a network edge by introducing a storage module into a router. To employ in-network caching and persistent request routing, this paper introduces a hybrid content delivery network (CDN) system combining novel content routers in an underlay together with a traditional CDN server in an overlay. This system first selects the most suitable delivery scheme (that is, multicast or broadcast) for the content in question and then allocates an appropriate number of channels based on a consideration of the content's popularity. The proposed scheme aims to minimize traffic volume and achieve optimal delivery cost, since the most popular content is delivered through broadcast channels and the least popular through multicast channels. The performance of the adaptive scheme is clearly evaluated and compared against both the multicast and broadcast schemes in terms of the optimal in-network caching size and number of unicast channels in a content router to observe the significant impact of our proposed scheme.

• Journal of Fashion Business
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• v.19 no.1
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• pp.47-61
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• 2015

Recently, female announcers in the baseball programs on television are drawing attention to their fashion. This study analyzes the shape, color, material, detail, and accessory of female announcers in the baseball programs broadcasted by KBS N SPORTS, MBC SPORTS+, SBS Sports, and XTM. The characteristics of their fashion were classified into reliability, popularity, differentiation, attractiveness, and dynamics. The analysis showed that the fashion of the female announcers of KBS N SPORTS showed reliability in shape, color, material, accessory, popularity, and differentiation in detail. For MBC SPORTS+, the popularity was shown in shape, color, material, and attractiveness was shown in detail. For SBS Sports, the differentiation and attractiveness were shown in material, and the differentiation and dynamics were shown in accessory. For XTM, the attractiveness and dynamics were shown in shape, the differentiation and dynamics were shown in color, the dynamics were shown in material, and the popularity was shown in accessory.

• Journal of KIISE:Information Networking
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• v.33 no.4
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• pp.324-332
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• 2006

A caching is a useful technique to alleviate performance degradation due to the inherent narrow bandwidth by reducing contention of broadcast requests. In this paper, we propose a caching strategy for pull-based data broadcast system which considers data popularity among clients. In addition, the proposed strategy also reflects recentness of data access based on data broadcast version. Then, we evaluate the performance of proposed strategy through a simulation approach. According to the results, the strategy considering both hit ratio and miss cost shows better performance than the traditional LRU. In addition, the strategy considering data popularity among clients shows better performance in some cases.

• Journal of KIISE:Databases
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• v.29 no.2
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• pp.148-157
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• 2002

Caching in meta-search engines can improve the response time of users' request. We describe the cache scheme in our meta-search engine in terms of its architecture and operational flow. In particular, we propose a popularity-driven cache algorithm that utilizes popularities of queries to determine cached data to be purged. The popularity is a value that represents the normalized occurrence frequency of user queries. This paper presents how to collect popular queries and how to calculate query popularities. An empirical performance evaluation of the popularity-driven caching with the traditional schemes (i.e., least recently used (LRU) and least frequently used (LFU)) has been carried out on a collection of real data. In almost all cases, the proposed replacement policy outperforms LRU and LFU.

• Journal of Information Science Theory and Practice
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• v.9 no.2
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• pp.18-32
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• 2021

Social media has become a popular source of information around the world. Previous studies explored different trends of social media news consumption. However, no studies have focused on Bangladesh to date, where social media penetration is very high in recent years. To fill this gap, this research aimed to understand its popularity trends during the period. For that reason, this work analyzes 97.67 million page likes and 3.48 billion interaction data collected from nine Bangladeshi news media's Facebook pages between December 2016 to November 2020. The analysis shows that the growth rates of page likes and interaction rates declined during this period. It suggests that the media's Facebook pages are gradually losing their popularity among Facebook users, which may have two more interpretations: Facebook's aggregate appeal as a news source is decreasing to users, or Bangladeshi media's appeal is eroding to Facebook users. These findings challenge the previous results, i.e., Facebook's demand as a news source is increasing with time. We offer four explanations of the decreased popularity of Facebook's news: information overload, exposure to incidental news, users' selective exposure and different aims of using Facebook, and conflict between media agendas and users' interests. Some theoretical and practical significance of the results has been discussed as well.