• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.235-236
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• 2011

최근 스마트폰이 널리 보급되고 대중화됨에 따라 스마트폰에서 구동되는 어플리케이션도 증가하고 있다. 그러나 모바일 환경에서는 정보를 보여줄 수 있는 디스플레이의 크기가 제한적이기 때문에 많은 수의 어플리케이션을 설치 할 경우 메뉴를 찾아가는 것이 불편한 실정이다. 본 연구에서는 사용자의 사용 패턴을 분석하여 사용자가 스마트폰을 사용하는 시점에 적절한 메뉴를 추천해주는 사용자 맞춤형 메뉴 인터페이스 제공 기법을 연구하였다. 안드로이드 기반에서 구현하였으며 실제 사용자 데이터를 토대로 결과를 분석함으로써 사용자 패턴 분석 결과에 기반한 메뉴 인터페이스 제공 가능성을 검토하였다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.297-298
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• 2011

아토피 피부염(atopic dermatitis, AD)은 염증과 소양감을 동반하는 재발성 만성적인 피부질환으로서 심각성이 나날이 커지고 있는 대표적 건강문제이다. 본 연구의 목적은 아토피 피부염을 겪고 있는 대상자를 위하여, 한국전통 식품과 무 유선 인터넷 기반의 맞춤형 영양 관리 시스템을 개발하는 것이다. 신체계측 및 모발 무기질 수치를 입력하면 체질량지수(BMI) 및 내분비, 탄수화물 내응성 등 대사 관련 기능을 판정 받은 후, 이 평가를 기반으로 체내 기능 개선에 적합한 한국 전통 위주의 식품을 추천하며, 동시에 관련 정보, 식품 성분, 요리법 등을 제공하여 대상자 스스로 아토피를 관리할 수 있는 능력을 갖도록 하는 것이다. 결론적으로 본 연구를 통하여 개발된 시스템을 통하여 모바일 사용자들은 장소와 시간의 제약을 받지 않고 어디서나 효과적으로 한국 전통식품 토대의 아토피 피부염 개선을 위한 맞춤형 영양관리를 받을 수 있도록 하였다.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.275-280
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• 2022

This paper intends to propose a technology for recommending convergence/composite art playlist contents that are fused with tags suitable for the user's situational information and taste to users for non-face-to-face art appreciation education. For the implementation of the proposed technology, the characteristics of works of art are analyzed, and related music and works of art are matched based on the tags of the analyzed works. In addition, we would like to propose a technology that automatically creates content for fusion and complex art viewing playlists using matched works.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.1-10
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• 2020

The performance of the personalized product recommendation system for offline shopping malls is poor compared with the one using online environment information since it is difficult to obtain visitors' characteristic information. In this paper, a mobile robot platform is suggested capable of recommending personalized advertisement using customers' sex and age information provided by Face API of MS Azure Cloud service. The performance of the developed robot is verified through locomotion experiments, and the performance of API used for our robot is tested using sampled images from open Asian FAce Dataset (AFAD). The developed robot could be effective in marketing by providing personalized advertisements at offline shopping malls.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.31-51
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• 2018

The objective of this study is to suggest the measures for providing the personalized recommendation service, by analyzing the effects of personalized recommendation service of OTT service on the relationship strength and customer loyalty, and also to verify the differences in meanings of personalized recommendation service in accordance with the type of contents. In the results of this study, the personalized recommendation service has significant effects on the customer loyalty with the mediation of relationship strength, and in accordance with the type of contents mainly used by customers, there are differences in the effects of personalized recommendation service on the customers. Personalized recommendation service could be used as a tool for strengthening the relationship by inducing the commitment, which could improve the customer loyalty. When the contents have more active communications with customers, personalized recommendation service could largely contribute to the improvement of loyalty.

• The Transactions of the Korea Information Processing Society
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• v.13 no.8
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• pp.367-373
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• 2024

The growth of mobile devices and network infrastructure has brought significant changes to the music industry. Online streaming services has allowed music consumption without constraints of time and space, leading to increased consumer engagement in music creation and sharing activities, resulting in a vast accumulation of music data. In this study, we define metadata as "song sentences" by using a user's playlist. To calculate similarity, we embedded them into a high-dimensional vector space using skip-gram with negative sampling algorithm. Performance eva luation results indicated that the recommended music algorithm, utilizing singers, genres, composers, lyricists, arrangers, eras, seasons, emotions, and tag lists, exhibited the highest performance. Unlike conventional recommendation methods based on users' behavioral data, our approach relies on the inherent information of the tracks themselves, potentially addressing the cold start problem and minimizing filter bubble phenomena, thus providing a more convenient music listening experience.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.145-152
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• 2009

Applications such as study guides and adaptive tutoring must rely on a fine grained student model to tailor their interaction with the user. They are useful for Computer Adaptive Testing (CAT), for example, where the test items can be administered in order to maximize the information. I study how to design learner tailoring question process for recommendation. And this process can be applied the CAT and I use the formal language such as CSP in each process development for efficient process design. I use the item difficulty of item response theory for question recommendation process and learner can choice the difficulty step for learning change to control the difficulty of question in next learning. Finally, this method displayed the structural difference to compare between existent and this process.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.159-164
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• 2019

Recent developments in ICT technology have increased interest in the care and health of pets such as dogs and cats. In this paper, cluster analysis was performed based on the component data of pet food to be used in various fields of the pet industry. For cluster analysis, the similarity was analyzed by analyzing the correlation between components of 300 dogs and cats in the market. In this paper, clustering techniques such as Hierarchical, K-Means, Partitioning around medoids (PAM), Density-based, Mean-Shift are clustered and analyzed. We also propose a personalized recommendation system for pets. The results of this paper can be used for personalized services such as feed recommendation system for pets.

• The Journal of Bigdata
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• v.7 no.1
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• pp.187-192
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• 2022

Many schools are trying to improve students' competencies through many subjects and non-curricular activities, each students has different goals and different activities to prepare for employment. Accordingly, it is difficult to determine whether the programs offered in a comprehensive and comprehensive manner in the existing subject and non-curricular subjects systems are actually suitable for students, so it is necessary to introduce a personalized system. In this study, a method was proposed to classify non-departmental subjects that are uniformly provided to all students of Chungbuk National University by grade level and department. In addition, three types of collaborative filtering models are implemented using the evaluation score of students who participated in the non-curricular program, and personalized recommendations are proposed with the most accurate model by comparing performance.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.65-72
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• 2020

In this paper, a USB module with fingerprint recognition was designed as a distributed node of blockchain on distributed ID (DID, distributed ID) for user identification. This biometric-linked fingerprint recognition device was verified for the real-time authentication process of authentication transaction with FIDO(Fast IDentity Online) server. Blockchain DID-based services were proposed like as a method of individual TV rating survey, and recommending service for customized shopping channels, and crypto-currency, too. This DID based remote service can be improved by recognizing of channel-changing information through personal identification. The proposed information of production purchase can be shared by blockchain. And customized service can be provided for the utilization of purchase history in shoppingmall using distributed ID. As a result, this blockchain node-device and Samsung S10 Key-srore with FIDO service can be certified for additional transactions through various biometric authentication like fingerprint, and face recognition.