• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.385-387
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• 2022

With the tremendous rise in popularity of the Internet and technological advancements, many news keeps generating every day from multiple sources. As a result, the information (News) on the network has been highly increasing. The critical problem is that the volume of articles or news content can be overloaded for the readers. Therefore, the people interested in reading news might find it difficult to decide which content they should choose. Recommendation systems have been known as filtering systems that assist people and give a list of suggestions based on their preferences. This paper studies a personalized news recommendation system to help users find the right, relevant content and suggest news that readers might be interested in. The proposed system aims to build a hybrid system that combines collaborative filtering with content-based filtering to make a system more effective and solve a cold-start problem. Twitter social media data will analyze and build a user's profile. Based on users' tweets, we can know users' interests and recommend personalized news articles that users would share on Twitter.

• 한국보육지원학회지
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• 제19권2호
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• pp.43-59
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• 2023

Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.

• 산경연구논집
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• 제14권6호
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• pp.1-8
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• 2023

Purpose: The marketing practice for the leisure and sports industry is a complex process that requires a thorough understanding of the audience, their needs and motivations. Thus, this niche market is focused on specific products, services, or experiences. The present research explores and suggests meaningful strategies based on the literature textual dataset to provide how to attract consumers in this sector. Research design, data and methodology: We have conducted the 'Secondary Literature Analysis', reviewing and summarizing numerous findings in the relevant prior studies. As a result, we could obtain a total of 15 significant textual resources which are from only peer-reviewed journal article. All resources had a high quality of the instrument to prove their results. Results: The findings of this research pointed out that marketers in leisure sports sector need to communicate via following methods: (1) Understanding the Customers' Needs and Wants, (2) Social Media, (3) Advertising, (4) Promoting Brand Affinity, (5) Offering Discounts, and (6) Providing Value-Added Services. Conclusions: The present research concludes that the marketing practice in the leisure and sports industry should be performed using various channels. In addition, marketing practitioners are supposed to check if tailored marketing messages are compatible with products, services, and events that relate to their target audience's interests.

• The Journal of Asian Finance, Economics and Business
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• 제10권1호
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• pp.91-100
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• 2023

MSMEs encountered several issues during the COVID-19 pandemic, including decreased sales and capital, difficulties in distribution, trouble obtaining raw materials, decreased production, and employee layoffs. These issues posed a threat to the national economy. The final effect was the company's bankruptcy as a result of its failure to survive a pandemic, which led to the company's downfall. This research aims to find out and analyze MSMEs' business strategy and innovation to maintain their business during the COVID-19 pandemic in Indonesia. This research is qualitative. Researchers got data using interviews, observation, and documentation. The analysis of this research is descriptive. To draw customers during the COVID-19 pandemic, MSMEs use social media or digital marketing, followed by the delivery of orders, promotions, or discounts and the creation of freebies. MSMEs develop new products as part of their ongoing efforts to expand their businesses while upholding standards for quality, value, and customer service. They also adapt to changing consumer tastes and popular food trends while showcasing some of their most intriguing products.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2020년도 춘계학술발표대회
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• pp.389-392
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• 2020

The growth in social media, blogs and restaurant listing directories have led to increasing customer reviews about restaurants, their quality of food items and services available on the internet. These user reviews offer a massive amount of valuable information that can be used for various decision-making purposes. Currently, most food recommendation sites provide recommendation scores about restaurants rather than food items of the restaurant and the provided recommendation scores may be biased since they are calculated only from user reviews listed only in their sites. Usually, people wants a reliable recommendation about foods, not restaurant. In this paper, we present a reliable Korean food items rating method; we first extract food items by applying NER technique to restaurant reviews collected from many Korean restaurant recommendation web sites, blogs and web data. Then, we apply lexicon-based sentiment analysis on collected user reviews and predict people's opinions as sentiment polarity scores (+1 for positive; -1 for negative; 0 for neutral). Finally, by taking average of all calculated polarity scores about a food item, we obtain a rating to individual menu items of the restaurant. The proposed food item rating is more reliable since it does not depend on reviews of only one site.

• 한국비블리아학회지
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• 제18권2호
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• pp.183-202
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• 2007

본 연구의 목적은 농산어촌 지역에 학교도서관을 설치하여 효과적으로 운영하기 위해 농산어촌 지역의 학교도서관을 담당하는 교사들이 가지고 있는 학교도서관 운영에 대한 인식을 조사하는데 있다. 사용된 연구방법은 설문지법과 면담법이 사용되었다. 조사결과 농산어촌 학교도서관의 역할은 독서교육 공간과 학생들의 문화 및 여가활용 공간으로 나타났다. 특히 학생들이 사회생활에 필요한 견문을 넓히는 공간으로 다양한 정보매체 활용을 위한 공간을 강조하였다. 또한 농산어촌의 학교도서관은 지역주민과 결합된 문화공간의 기능을 강조하였다. 이에 본 연구에서는 유연성 있는 도서관 운영시간, 학업능력 향상 프로그램 교양능력향상 프로그램, 문화공간 프로그램을 제시하였다.

• 식품보건융합연구
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• 제9권5호
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• pp.7-11
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• 2023

Purpose: The purpose of this study is to analyze current trends in the Korean ice cream industry and determine how these trends affect the competitiveness of each ice cream company. Method: This study was conducted by reviewing existing related literature and collecting and analyzing data from news articles, corporate reports, and existing researchers' studies related to the ice cream industry. Results: The Korean ice cream industry is growing and developing through the collaboration of fun marketing with taste, quality, and fun elements, and the young MZ generation can be said to be the main customer base. In terms of quality, premium ice cream made with high-quality domestic ingredients has recently been gaining popularity, and ice cream with reduced fat and sugar, such as plant-based substitutes, is also gaining popularity among consumers. Conclusions and Implications: The results of this study highlight the need for continued innovation in the Korean ice cream industry. The industry must also capitalize on the growth of online sales and the global appeal of Korean pop culture. Sustainability efforts, technology adoption, and strategic collaboration are key drivers for future industry success, and social media engagement must be integrated into marketing strategies to increase brand awareness and consumer loyalty.

• 산경연구논집
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• 제14권10호
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• pp.11-22
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• 2023

Purpose: This study aims to investigate how brand-related user-generated content (UGC) influences consumers' brand attitude and behavioral intention in the context of the Metaverse, and the mediating role of virtual brand experience, perceived information usefulness, perceived interactivity, and attitude toward advertising. Research design, data and methodology: The study was conducted using a survey with 239 questionnaires from frequent social media users in China and hypothesis testing through AMOS 26.0 structural equation modeling. Results: The findings suggest that (1) brand-related UGC positively influences brand attitude and behavioral intention through virtual brand experience, perceived information usefulness, perceived interactivity, and attitude toward advertising. (2) The study identified the fully-mediated effects of virtual brand experience, perceived information usefulness, perceived interactivity, and attitude toward advertising in the impact of brand-related UGC on brand attitude and behavioral intention. (3) The mediating pathway with the most significant impact on behavioral intention was the virtual brand experience and attitude toward the advertising, followed by the effect of the virtual brand experience, perceived information usefulness, and perceived interactivity on brand attitude. Conclusions: This study presents UGC as a new type of digital promotion that can positively impact the effectiveness of brand advertising in the Metaverse.

• 산업경영시스템학회지
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• 제46권4호
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• pp.142-151
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• 2023

Sentiment analysis is a method used to comprehend feelings, opinions, and attitudes in text, and it is essential for evaluating consumer feedback and social media posts. However, creating sentiment dictionaries, which are necessary for this analysis, is complex and time-consuming because people express their emotions differently depending on the context and domain. In this study, we propose a new method for simplifying this procedure. We utilize syntax analysis of the Korean language to identify and extract sentiment words based on the Reason-Sentiment Pattern, which distinguishes between words expressing feelings and words explaining why those feelings are expressed, making it applicable in various contexts and domains. We also define sentiment words as those with clear polarity, even when used independently and exclude words whose polarity varies with context and domain. This approach enables the extraction of explicit sentiment expressions, enhancing the accuracy of sentiment analysis at the attribute level. Our methodology, validated using Korean cosmetics review datasets from Korean online shopping malls, demonstrates how a sentiment dictionary focused solely on clear polarity words can provide valuable insights for product planners. Understanding the polarity and reasons behind specific attributes enables improvement of product weaknesses and emphasis on strengths. This approach not only reduces dependency on extensive sentiment dictionaries but also offers high accuracy and applicability across various domains.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.302-309
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• 2023

Wearable devices, attached to the human body, track and enhance users' activities, health, and communication. Therefore, considering ergonomic factors in product design is crucial. However, previous research has somewhat overlooked the importance of integrating ergonomic design elements into a broad spectrum of design factors. This study aims to examine the impact of physical attributes inherent in smart wristbands and smartwatches on the perceived functional value, specifically, perceived usefulness, ease of use, and fit. A survey was conducted among 289 US adults who had experience using smart wristbands or smartwatches. The collected data were analyzed using descriptive statistics, factor analysis, Cronbach's alpha, t-test, MANOVA, and regression analysis in SPSS version 29. The results showed that the shape of the front display significantly influenced perceived ease of use, and the product's weight had a substantial impact on both perceived ease of use and fit. Furthermore, distinct technical features on the front display had varied effects on perceived usefulness, ease of use, and fit. Notably, the presence of activity tracking, alarm, and calendar functionalities led to distinct differences in ease of use and fit. Features such as distance tracking, phone call, social media notifications, text messaging, and time display functions showed significant influences on the perception of fit. These findings provide insights into the physical values of smart wristbands and smartwatches as perceived by users.