• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.123-136
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• 2019

This paper is a study on the development and consumer preference of the soup stew HMR new products, and the main contents are as follows. A total of nine products were studied, including three developed products and six market products. For this study, the demographic characteristics, the awareness and attitude of HMR products were investigated. In addition, the consumer panel evaluated overall liking, appearance, color, flavor, and taste using the nine-point recertification scale, while the strength assessed viscosity, sweetness, saltiness, sourness, and Umami. Familiarity, health degree, Purchase intention and Recommendation intention were investigated and the reasons for preference and non preference were analyzed by multi-response method. The consumer preference analysis indicates that the product is competitive among existing products and that it would be desirable to improve after identifying the causes of non-preferred factors.

• Cartoon and Animation Studies
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• s.44
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• pp.285-306
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• 2016

With the increase use of smartphones, users can consume contents such as webtoon, webnovel and TV drama directly provided by the producers. In this Direct-to-Consumer era, webdrama services from the portal websites are increasing rapidly. Webdramas such as , , and can be analyzed in real time using responses such as unique users, likes, and comments. The analyses used in this research were Social Media Big Data Mining Method and Opinion Mining Method. Specific key words from webdrama can be extracted and viewers positive, neutral or negative emotion can be predicted from the words. The analyses of popular webdramas showed that the established K-Pop Idol member appearance and servicing portal site greatly influence the views, traffics, comments, and likes. Also, 'Mobile TV' proved the effectiveness as another platform other than television. Mobile targeted contents and robust business models still to be developed and identified. Overcoming these few tasks, Korea will be proven to be a webdrama content powerhouse.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.23-33
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• 2007

The collaborative filtering has used the nearest neighborhood method based on the preference and the similarity using the Pearson correlation coefficient. Therefore, it does not reflect content of the items and has the problems of the sparsity and scalability as well. the item-based collaborative filtering has been practically used to improve these defects, but it still does not reflect attributes of the item. In this paper, we propose the user and item based collaborative filtering using the classification property and Naive Bayesian to supplement the defects in the existing recommendation system. The proposed method complexity refers to the item similarity based on explicit data and the user similarity based on implicit data for handing the sparse problem. It applies to the Naive Bayesian to the result of reference. Also, it can enhance the accuracy as computation of the item similarity reflects on the correlative rank among the classification property to reflect attributes.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.427-432
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• 2012

The article herein suggested a compound repository and a descriptive method to develop a compound knowledge process. A data target saved in a compound knowledge repository suggested in this article includes all compound knowledge meta data and digital resources, which can be divided into the three following factors according to the purpose: user roles, functional elements, and service ranges. The three factors are basic components to describe abstract models of repository. In this article, meta data of compound knowledge are defined by being classified into the two factors. A component stands for the property about a main agent, activity unit or resource that use and create knowledge, and a context presents the context in which knowledge object are included. An agent of the compound knowledge process performs classification, registration, and pattern information management of composite knowledge, and serves as data flow and processing between compound knowledge repository and user. The agent of the compound knowledge process consists of the following functions: warning to inform data search and extraction, data collection and output for data exchange in an distributed environment, storage and registration for data, request and transmission to call for physical material wanted after search of meta data. In this article, the construction of a compound knowledge repository for recommendation system to be developed can serve a role to enhance learning productivity through real-time visualization of timely knowledge by presenting well-put various contents to users in the field of industry to occur work and learning at the same time.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.111-121
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• 2009

In this paper, we propose a multimedia recommender system using user's playback time. Proposed system collects multimedia content which is requested by user and its user‘s playback time, as web log data. The system predicts playback time.based preference level and related contents from collected transaction database by fuzzy association rule mining. Proposed method has a merit which sorts recommendation list according to preference without user’s custom preference data, and prevents a false preference. As an experimental result, we confirm that proposed system discovers useful rules and applies them to recommender system from a transaction which doesn‘t include custom preferences.

• Annual Conference of KIPS
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• 2014.11a
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• pp.1050-1053
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• 2014

웹 기반 서비스의 발전과 스마트 기기의 보급으로 사용자들은 다양한 웹 서비스들을 이용할 수 있게 되었고, 소셜 웹과 같은 사람들 간의 관계를 형성함으로써 정보를 주고받는 서비스에 접근하여 자신만의 콘텐츠를 생성, 공유하기가 용이해졌다. 그러나 소셜 웹 사용자들이 증가하고 지식의 양이 늘어남에 따라, 방대한 양의 지식들 중 필요한 정보만을 효율적으로 창출해내고자 하는 연구 또한 시도되어 왔다. 그러나, 기존의 방법은 다수의 서비스 사용자들의 공통적인 관심사가 반영된 결과를 도출해내기에는 부족하다는 단점이 있었다. 그리하여, 본 논문에서는 집단 지성 알고리즘과 의사 결정 나무를 활용하여 소셜 웹을 이용하는 사용자들의 태그와 URL 정보를 토대로 트렌드를 분석, 콘텐츠를 추천하는 방법을 제안하고, 이를 통하여 다수 사용자들의 기호가 반영된 다양한 정보들을 소셜 웹 사용자들에게 제공해줄 수 있음을 보인다.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.135-141
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• 2011

Mobile communication technology in the field of ubiquitous computing is one of important technologies. The development of GPS technology in mobile communications technology and PDA, the vast majority of mobile devices such as smart phones also being equipped with GPS functionality. This user where they are located where they are based on the number of through services were able to receive information. In this paper, mounted on a mobile device user's location using GPS capabilities to track the migration routes and the accumulated user to determine the migratory path of the system used to recommend the proposed route of the proposed method and system Designs. The services offered by tracking the location of the user to move the user to route data to create and upload to the server. Upload a migration path to move data from where they currently reside to the user is recommended to go to your destination. The services offered by the users do not know where to travel or go to your destination, etc. If you do not remember the path can be useful.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.19 no.2
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• pp.123-129
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• 2016

Purpose: This study was performed to evaluate the dietary nutrient intake status and hair mineral content of Korean young children. Methods: Fifty-five children who visited Seoul National University Bundang Hospital were divided into three groups by age: infants, toddlers, and preschoolers. The 24-hour recall method was used to collect the food intake data of the subjects. Hair mineral analysis was conducted using a Mass Spectrometer. Serum iron, ferritin, and calcium were also measured. Results: The mean energy intakes of the subjects were 730.3 kcal, 994.3 kcal, and 1,482.9 kcal for each age group. The mean percentage of energy intake compared to recommendation was 101.4% and was not different by age group. Toddlers of 37.8% and preschoolers of 54.5% consumed less than the Estimated Average Requirement (EAR) of calcium. Infants of 28.6%, toddlers of 10.8% and preschoolers of 9.1% consumed less than the EAR of iron. In the case of zinc, copper, and selenium, only 0% to 5% of toddlers and none of the preschoolers consumed less than the EAR of those minerals. The hair calcium, iron and copper concentrations were lower in toddlers and preschoolers than those in infants. Serum calcium levels of preschoolers were significantly lower than those of infants, whereas serum iron and ferritin levels were not. Conclusion: Hair calcium, iron, and copper concentrations were significantly lower in toddlers and preschoolers than in infants. Insufficient dietary intake of calcium and iron seems to be related with decreased hair mineral contents in young children.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.57-67
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• 2015

The aim of this study was to categorize and analyze the patterns of the observation type in the experiential learning through the science museum for elementary gifted students in science. Ten science-gifted students were included and analyzed in this study and during experiential learning in the science museum, the participants freely expressed their observation of their own languages and all observations and dialogue were recorded. The results are listed below. The cognitive aspect, especially question and response activity without their personal opinion, was the most frequently used item. Among the affective aspects, item for 'recommendation' was often used. In accordance to observation type, most participants overall observed single object independently of time. Also, participants mostly observed objects visually using qualitative method without manipulation. Therefore verbal interaction through question might have a positive effect on frequency and diversity of observation. Project learning, such as particular exhibition hall, exploratory time of concentration by students, or study paper will be capable of creating a effective observation learning in order to induce a variety of observation of science gifted students in the experiential learning through the science museum.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.61-68
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• 2014

In the past, to stimulate customers' rationality were used as a marketing methods but the storytelling marketing is appealing to consumers by showing product or brand value. Storytelling marketing attracts clients favorable attitude. In this research, I tried to figure out how emotional storytelling and humor advertising affects to brand attitude a quality of products according to advertising types, brand image, trust, interest, message, advertising model, intension of purchase and recommendation requisite to impact on brand attitude. As a result emotional storytelling was more effective than the humor advertising method when forming the brand attitude and brand image. Also, among the types of advertisement, emotional storytelling tended to bring a significant difference between men and women. Emotional storytelling advertisement are increasing and being competitive. Therefore, we need notable advertisement. It is a significant research to understand how advertising type affects to consumers.