• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.40 no.4
• /
• pp.154-163
• /
• 2017

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The 'cold-start' problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

• Journal of Digital Convergence
• /
• v.15 no.7
• /
• pp.383-391
• /
• 2017

The purpose of this study was to examine users' attitude toward likability, understanding level, reliability, satisfaction, and continuous usage intention depending on a difference in a type between card news and straight news. A questionnaire survey was conducted targeting 232 people. As a result of the research, compared to the straight news, the card news was easy for a user to understand, was strong even in a desire to use continuously. Second, a factor of users' attitude toward news was having influence upon the mutually positive(+) direction. Likability, understanding level and reliability had an effect on satisfaction. The satisfaction had an impact again on continuous usage intention. The intensity of this impact was varied, respectively, in card news and straight news. The influential level upon satisfaction in card news was strong in order of likability, understanding level and reliability. The influence in the straight news was strong in order of reliability, likability and understanding level. The outcome of this study will become empirical data in proceeding with seeking a method available for strengthening the function of offering information in news through increasing delivery and impact in information with producing news chosen by consumers.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.34 no.11
• /
• pp.75-84
• /
• 2018

This study analyzed users' acceptance and intention to use in addition to needs and preferences of smart home technologies, and identified the differences in technology preference and acceptance by different factors. The subjects were residents in the 40s and 60s residing in the Seoul or suburbs of Seoul, and questionnaires were conducted in the 40s while interviews with questionnaires were conducted in the 60s. A total of 105 questionnaires were used as data, and frequency, mean, crossover, independent sample t test, one-way ANOVA and multiple regression analysis were performaed using SPSS23. The results of this study are as follows. First, hypertension, hyperlipidemia and hypercholesterolemia were the most common diseases among respondents and if there was no discomfort, they would like to continue living in the homes of the current residence. Therefore, the direction of smart home development should support the daily living and health care so that residents can live a healthy life for a long time in their living space. Second, the technologies that residents most need were a control technology of residential environments and a monitoring technology of residents' health and physiological changes. The most preferred sensor types are motion sensors and speech recognition while video cameras have a very low preference. Third, technology anxiety was the most significant factor influencing intention to accept smart home technology. The greater the technology anxiety is, the weaker the acceptance of technology. Fourth, when applying smart residential technology in homes, various resident characteristics should be considered. Age and technology intimacy were the most influential variables, and accordingly there were differences in technology preference and acceptance. Therefore, a user-friendly smart home plan should be done in the consideration of the results.

• Journal of People, Plants, and Environment
• /
• v.24 no.5
• /
• pp.451-460
• /
• 2021

Background and objective: The prolonged COVID-19 pandemic has had significant impacts on mental health, which has emerged as a major public health issue around the world. This study aimed to analyze trends and network structure of 'grow-your-own (GYO)' through Instagram, one of the most influential social media platforms, to encourage and sustain home gardening activities for promotion of emotional support and physical health. Methods: A total of 6,388 posts including keyword hashtags '#gyo' and '#growyourown' on Instagram from June 13, 2020 to April 13, 2021 were collected. Word embedding was performed using Word2Vec library, and 7 clusters were identified with K-means clustering: GYO, garden and gardening, allotment, kitchen garden, sustainability, urban gardening, etc. Moreover, we conducted social network analysis to determine the centrality of related words and visualized the results using Gephi 0.9.2. Results: The analysis showed that various combinations of words, such as #growourrownfood, #growourrownveggies, and #growwhatyoueat revealed preference and interest of users in GYO, and appeared to encourage their activities on Instagram. In particular, #gardeningtips, #greenfingers, #goodlife, #gardeninglife, #gardensofinstagram were found to express positive emotions and pride as a gardener by sharing their daily gardening lives. Users were participating in urban gardening through #allotment, #raisedbeds, #kitchengarden and we could identify trends toward self-sufficiency and sustainable living. Conclusion: Based on these findings, it is expected that the trend data of GYO, which is a form of urban gardening, can be used as the basic data to establish urban gardening plans considering each characteristic, such as the emotions and identity of participants as well as their dispositions.

• Knowledge Management Research
• /
• v.24 no.1
• /
• pp.31-49
• /
• 2023

TikTok, as a leading short video platform, has attracted many users, and the resulting attention generates immense business value as a platform to diffuse knowledge. As a qualitative and explorative approach, this study reviews the knowledge payment industry and discusses the influential factors of users' payment decisions regarding knowledge products on TikTok. By conducting in-depth interviews with ten participants and observing 95 knowledge providers' videos, we find that TikTok has significant business potential in the knowledge payment industry. By using the ATLAS. ti software to code the data collected from these interviews, this study finds that demander characteristics (personal needs), product characteristics (product quality), provider characteristics (the key opinion leader effect), and platform characteristics (platform management) are the four core categories that influence users' payment decisions regarding knowledge products on TikTok. A theoretical model consisting of the ten variables of emotional needs, professional needs, quality, price, helpfulness, value, charisma, user trust, service guarantee, and scarcity is proposed based on the grounded theory. The theoretical and practical implications of the study findings are also discussed.

• Journal of Intelligence and Information Systems
• /
• v.19 no.3
• /
• pp.141-156
• /
• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.1-8
• /
• 2013

Rapidly increasing internet use has brought beneficial development in many aspect and provide us with abundance and comfort as well as enhancement of quality of life. But Cyber space is giving rise to some negative result such as violence and delinquent conduct. It bring about more serious social problems than real life. We try to provide the desirable direction for Internet ethics by mobile SNS. SNS has not only economical values but also social communication toll to exchange and share views of specific issues with other users. Social influential and personal emotion factor is a factor of community relation. Thus SNS contribute to self-construction, interpersonal relations and public sphere. This internet ethics of mobile Era will makes people recognize the correct internet ethics information and do it, suggest the solution for interpersonal internet environment.

• Journal of Digital Contents Society
• /
• v.13 no.1
• /
• pp.61-66
• /
• 2012

As a digital TV has outstanding features of being the most influential device in the living room and having the wide spectrum of users, several internet services has been ported on the digital TV platform (in the form of data services) in order to enhance their brand powers. Most of the services, however, failed to get a satisfactory results as the data services are defeated by the broadcasting contents in the competition for the viewer's interests. In the paper, the design guidelines that make data services not to compete with the broadcasting contents are proposed and a prototype of a data service that accommodates the guidelines is introduced.

• The Journal of Information Systems
• /
• v.21 no.2
• /
• pp.115-133
• /
• 2012

According to previous studies, the effect of intrinsic motivation related variables such as cognitive absorption (CA) on the use of information technology(IT) should be mediated by the conscious intention. However, CA, which is a thought of previous emotional experience, a deep involvement with a software, may be one of environmental cues stimulating the use of IT independently of conscious intention. The objective of this study is to show the direct effect of CA on the automatic use of IT. For this purpose, as well as the relation between CA and use, two relations, CA-intention and intention-use, were also suggested as hypotheses, which will show that conscious intention would not fully mediate the relation between CA and automatic use. Moreover, for seeing the effects of CA as time passes, the proximal effect, which is short term and transitory effect, and the distal effect, which is long term and lingering, were simultaneously included in hyptheses. Finally, the effect of past use was also suggested as a hypothesis which aimed to show that automatic use would be controlled mostly by habit rather than not only intention but also CA. For the empirical validation of the hypotheses, 174 users of 'Cyworld', one of most influential social network services, were longitudinally surveyed, which showed that the hypotheses were accepted.

• The Research Journal of the Costume Culture
• /
• v.28 no.2
• /
• pp.181-198
• /
• 2020

Using the developed wedding planner selection criteria scale, this study examined whether wedding planner selection criteria differ according to consumer characteristics such as demographic characteristics and wedding preparation behaviors. The main survey for this study was conducted via the Internet with 295 consumers aged 20-30 living in the Seoul metropolitan area. The data collected from the survey processed and analyzed using the statistical programs SPSS 21.0 t-test. Analyzing how wedding planner selection criteria differ according to consumers' demographic characteristics and wedding preparation behaviors, results shown for the wedding planner selection criteria were all four points on average except for individual characteristics and important sub-factors regardless of the consumers' characteristics, and various results were derived depending on the consumers' characteristics. This study has various practical implications in that it verified the difference in wedding planner selection criteria according to consumer characteristics and determined how much money consumers were willing to play for wedding planners. It is recommended that future studies take various approaches to investigate how wedding planner users are satisfied with or place importance on wedding planner services and conduct empirical using the selection criteria developed in this study to compare influential variables that affect behavior intention and willingness to pay according to consumer type.