• Korean Institute of Interior Design Journal
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• v.27 no.3
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• pp.71-78
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• 2018

The purpose of this study is to suggest customized service for managing solitary death using lifelog of the elderly living alone. The use of the lifelog technology is due to the advantage of suggesting a personalized service by analyzing the current situation by searching the past experiences of the elderly living alone. The method of study is reviewing literature and previous studies and collecting and analyzing the lifelog information of elderly living alone. The results of the study are as follows. First, it examined the problem of solitary death of the elderly living alone and tried to grasp the problem of the service using the IT technology supported by the government. Second, the lifelog information of the elderly living alone A was collected for two weeks. And the daily patterns of elderly living alone were analyzed through lifelog interpretation. Third, we proposed and discussed the residents' personalized service for managing solitary death based on the lifelog of the elderly living alone. It is an advantage of this paper that it is possible to support customized services by analyzing the general behavior of the elderly living alone and the exceptional behavior in the housing. However, the limitation of this study is that it does not reflect more subjects with various characteristics.

• The KIPS Transactions:PartC
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• v.16C no.1
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• pp.109-116
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• 2009

Recently, there are many researches to realize context-awareness service that recognizes surrounding environments as context and provide the citizens with pervasive convenience based on ubiquitous computing technology. In the u-City, various sensors collect information as context, and citizens will receive various context-awareness service, making use of their wireless and mobile devices and the infrastructures of the u-City. We designed ontology that is useful to structure information of sensor or device that is linked to networks and use OWL (Web Ontology Language) that can express information of mutual relation and partial situation. And we propose a context-aware reasoning system for personalized u-City services based on collected context information and user's intention.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.53-58
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• 2010

This research aims to develop practical location-based services that provide users with personalized theater guide services on smart phones. In this research, we have designed and implemented a smart theater guide system for Deahakro, Seoul based on smart phones incorporating GPS. This system first identifies the current position using GPS, and maps the current position onto the map. It is designed and implemented to provide users with personalized information service about the plays and the theaters nearby the current position. It is also optimized to be useful effectively by performing on-site experiments.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.43-56
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• 2023

With the development of the e-commerce market, various types of products continue to be released. However, customers face an information overload problem in purchasing decision-making. Therefore, personalized recommendations have become an essential service in providing personalized products to customers. Recently, many studies on GCN-based recommender systems have been actively conducted. Such a methodology can address the limitation in disabling to effectively reflect the interaction between customer and product in the embedding process. However, previous studies mainly use implicit feedback data to conduct experiments. Although implicit feedback data improves the data scarcity problem, it cannot represent customers' preferences for specific products. Therefore, this study proposed a novel model combining explicit and implicit feedback to address such a limitation. This study treats the average ratings of customers and products as the features of customers and products and converts them into a high-dimensional feature vector. Then, this study combines ID embedding vectors and feature vectors in the embedding layer to learn the customer-product interaction effectively. To evaluate recommendation performance, this study used the MovieLens dataset to conduct various experiments. Experimental results showed the proposed model outperforms the state-of-the-art. Therefore, the proposed model in this study can provide an enhanced recommendation service for customers to address the information overload problem.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.21-44
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• 2008

Recently, feasible services in ubiquitous computing environment are commonly based on context -aware computing. With the concept of context-awareness we can imagine more effective way to measure human being's daily stress and provide anti-stress services. Our study introduces logical and methodological approach to manage the stress through the development of stress index. From the practical perspectives, we also designed a business model for u-SMC, which is a profitable organization specialized in providing stress measurement services and personalized anti-stress services by utilizing the stress index model.

• Asia pacific journal of information systems
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• v.19 no.4
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• pp.29-45
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• 2009

In the information age, cheap price of information processing and advances in personalization technology have allowed companies to enhance the relationships with their existing customers and to expand their customer base by effectively attracting new customers. However, most customers are reluctant to provide their personal information to companies. This study explores the tension between companies' desire to collect personal information to offer personalized services and their customers' privacy concerns. The psychological reactance theory suggests that when individuals feel that their behavioral choice is threatened or restricted, they are motivated to restore their freedom. Therefore, despite the expected benefits from personalized services, customers may perceive the services to be restrictive of their freedom to choose. This adverse effect may undermine the relationships between companies and their customers. We conducted experiments to explore the dynamic roles of transactional and environmental factors in motivating customers to provide personal information. We revisited online privacy issues from the perspective of psychological reactance. For the experiments, we created an online shop and randomly assigned the participants to one of the two experimental conditions-high and low levels of information requirements. The results of the experiment indicate that threatening the free choice serves as a transactional cost in online profiling. On the other hand, the expected benefits of personalization services have positive correlations with customers' willingness to provide personal information. This study explains privacy based on transactional and environmental factors. Our findings also indicate that the environmental factors such as the Internet privacy risk and trust propensity do not significantly affect the willingness to provide personal information when firms required much personal information. Implications and contributions are discussed.

• Journal of Information Technology Services
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• v.21 no.2
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• pp.109-126
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• 2022

The number and variety of products and services offered by companies have increased dramatically, providing customers with more choices to meet their needs. As a solution to this information overload problem, the provision of tailored services to individuals has become increasingly important, and the personalized recommender systems have been widely studied and used in both academia and industry. Existing recommender systems face important problems in practical applications. The most important problem is that it cannot clearly explain why it recommends these products. In recent years, some researchers have found that the explanation of recommender systems may be very useful. As a result, users are generally increasing conversion rates, satisfaction, and trust in the recommender system if it is explained why those particular items are recommended. Therefore, this study presents a methodology of providing an explanatory function of a recommender system using a review text left by a user. The basic idea is not to use all of the user's reviews, but to provide them in a summarized form using only reviews left by similar users or neighbors involved in recommending the item as an explanation when providing the recommended item to the user. To achieve this research goal, this study aims to provide a product recommendation list using user-based collaborative filtering techniques, combine reviews left by neighboring users with each product to build a model that combines text summary methods among deep learning-based natural language processing methods. Using the IMDb movie database, text reviews of all target user neighbors' movies are collected and summarized to present descriptions of recommended movies. There are several text summary methods, but this study aims to evaluate whether the review summary is well performed by training the Sequence-to-sequence+attention model, which is a representative generation summary method, and the BertSum model, which is an extraction summary model.

• Journal of Korean Society of Disaster and Security
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• v.16 no.3
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• pp.35-43
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• 2023

This study introduces a study on the adjustment methods of the Life Safety Index. The Life Safety Index is a service provided by the Life Safety Prevention Service System. It comprehensively evaluates individuals' levels of safety in their daily lives, continually monitors their safety status, and presents a comprehensive index to prevent safety accidents in advance. Previous studies have developed the Life Safety Index using evaluation criteria (items) for assessing life safety prevention services, incorporating both the AHP (Analytic Hierarchy Process) and Likert Scale techniques. In this study, we build upon this existing Life Safety Index and explore methods for applying adjustment factors based on individuals' characteristics to enhance its accuracy and customization. We develop adjustment factors using existing national statistics to provide personalized services tailored to individual profiles. Therefore, this paper proposes a method for providing customized services by applying adjustment factors to the Life Safety Index, contributing to the development and application of life safety index adjustment methodologies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.851-860
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• 2024

This study analyzes the impact of online streaming services, particularly Over The Top (OTT) services, on consumer media consumption patterns in the digital age. It examines how consumer-centric service values affect OTT platform choice, consumer satisfaction, and brand loyalty, focusing on various factors such as content diversity, ease of use, affordability, brand awareness, and personalized services. The findings reveal that content diversity, ease of use, and affordability are significant factors positively influencing consumer satisfaction and brand loyalty, thereby motivating OTT platform selection. Contrary to expectations, personalized services did not have a significant impact. This research provides critical insights for OTT service providers to enhance consumer-centric values and develop competitive service strategies.

• Journal of Internet Computing and Services
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• v.11 no.6
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• pp.1-11
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• 2010

While a supply of GPS-enabled smartphone is increased, LBS which is studied and developed for special function is changed to personal solution. In this paper, we propose and implement on personalized method of individual LBS using collaborative filtering-based recommend system. Proposed personalized LBS system recommends contents which is expected to be interest for individual user, by predicting location-based contents within a user's setting radius. To evaluate performance of proposed system, we observed prediction accuracy with various experimental condition using our prototype. As a result, we confirmed that the convergence of collaborative filtering and LBS is effective for personalized LBS.