• 지역과문화
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• v.8 no.2
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• pp.1-20
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• 2021

This study analyzed the effect of perceived service quality for the local content production policy on the service user satisfaction, reuse intention, and the recommendation intention. First, reliability, responsiveness, and adequacy were identified as the service quality evaluation criteria of the local content production policy. Second, all of the quality evaluation criteria had a positive effect on the service user satisfaction. Third, responsiveness had a positive effect on reuse intention, and responsiveness and reliability had a positive effect on recommendation intention. Fourth, the service user satisfaction had a positive effect on the reuse intention and recommendation intention. Therefore, this study has the significance of presenting a theoretical model for the service quality evaluation of the local content production policy, and suggesting perspective for the improvement of the policy.

• Information Systems Review
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• v.20 no.3
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• pp.73-92
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• 2018

Many users are uploading their daily life activities on SNS and use hashtags to describe their postings. Hashtag has the advantage of letting users specify categories for their postings, however until now, the users has had to manually input the hashtags which has been very inconvenient for them. Therefore, in order to address this issue, this paper proposes a hashtag recommender system which recommends proper hashtags to users based on their uploaded images on SNS. The proposed system is designed using four analytic structures, which is composed of a camera information-based analysis, an address-based analysis, a location based CF analysis, and an image-based analysis. In order to check whether the proposed system is improved compared to the existing systems in terms of the hashtag recommendation function, we conducted an evaluation with 212 SNS users from fifteen countries. As a result of the evaluation process, the proposed system shows very high accuracy recommendation results compared to the existing hashtag recommender systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.903-906
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• 2007

유비쿼터스 컴퓨팅 환경이란 생활 속에 존재하는 컴퓨팅 자원들을 이용해 사용자가 언제 어디에서든 편리한 서비스를 제공받을 수 있는 환경을 의미한다. 유비쿼터스 환경에 존재하는 수없이 많고 다양한 컴퓨팅 자원들을 사용자가 최적으로 사용하기 위해서는 사용자가 어떤 상황에 있으며 이때 어떤 자원이 사용자의 현 상황에서 가장 적절한지를 판단하는 것이 반드시 필요하다. 본 논문에서는 이를 위하여 사용자가 현재 존재하는 유비쿼터스 공간에서 사용자의 상황을 인식하고 사용 가능한 최적의 자원들을 공유할 수 있도록 추천해주는 상황 기반 디바이스 추천 시스템을 제안한다. 우리의 추천 시스템은 상황에 따른 사용자 개개인의 특성이 고려된 사용자의 개인정보 및 규칙들을 이용하여 사용자의 상황에 최적의 디바이스를 추론한다. 향후 제안한 서비스 추론 방법은 유비쿼터스 환경에서 더 나은 개인화 서비스 시스템의 개발 및 운용을 효과적으로 지원할 수 있을 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.346-348
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• 2022

Media Contents Recommendation Web Service (service name 'mobodra') is a web service that analyzes media types and genre tastes for each user and recommends content accordingly. Users select some of the works randomly provided on the web when signing up for membership and analyze their tastes based on this. Based on this analysis, preferred content for each user is recommended. In this paper, we implement a content recommendation algorithm through item-based collaborative filtering. When the user's activity data or preference is re-examined, the above process is executed again to update the user's taste.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.193-195
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• 2021

최근 우리나라에서 재배되고 있는 농작물은 지구 온난화 등의 영향으로 점점 북상하고 있다. 이러한 농업 환경의 변화에 적극적으로 대처하기 위해 본 논문에서는 농업 재배지의 환경 데이터를 수집하고 분석하여 현재 농업 재배지에 최적화된 농작물을 추천할 수 있는 농작물 추천 서비스를 제안한다. 이를 위해 농작물 추천 서비스에 활용하기 위해 농업 환경 데이터의 모니터링과 농작물 데이터 관리 스마트팜 모형을 설계 및 구축한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.19-21
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• 2006

본 논문에서는 상황 정보를 이용하여 사용자에게 필요한 정보를 효율적으로 제공하는 개방형 아키텍처 하에서의 상황 인식 추천 서비스를 설계한다. 상황 인식 서비스에서는 다양한 기기에 대해 서비스를 제공해야 하기 때문에 개방형 아키텍처가 필요하다. 본 논문에서는 이질적인 장치에서 공통적인 서비스를 제공하기 위해 OSGi 프레임워크를 이용하였고, 웹서비스를 이용하여 플랫폼과 어플리케이션에 독립적인 통신 환경을 제공한다. 그리고 상황에 따라 관심도를 측정하여 효율적으로 정보를 제공한다. 이러한 설계를 통해 유비쿼터스의 이질적인 환경에서 사용자에게 필요한 적절한 정보를 적시적지에 받을 수 있도록 하였다.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.389-402
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• 2015

Due to tough competition among social network services, technological specification alone could not be an adoption factor by the users. Instead, emotional factors such as a brand image and feeling towards an SNS brand became important factors in service differentiation. This study examined Korean young users perception of brand personalities of three social network services, Facebook, Kakao Story, and Band. It also analyzed the influence of the perception of brand personality, brand-self-image congruence, and brand affect on brand recommendation to others. The authors conducted a survey of Korean college students. The results indicate that SNS users perceived three SNS's brand personalities differently, and the positive perception of an SNS service has a positive effect on brand recommendation. Brand personality, brand-self-image congruence, and brand affect combined determine brand recommendation. When the brand personality variable is statistically controlled, brand affect has strong effect on brand recommendation.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.31-50
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• 2009

As the collected information which is static or dynamic is infinite in ubiquitous computing environments, information overload and invasion of privacy have been pressing issues in the recommendation service. In this study, we propose a recommendation service procedure through P2P, The P2P helps customer to obtain effective and secure product information because of communication among customers who have the similar preference about the products without connection to server. To evaluate the performance of the proposed recommendation service, we utilized real transaction and product data of the Korean mobile company which service character images. We developed a prototype recommender system and demonstrated that the proposed recommendation service makes an effect on recommending product in the ubiquitous environments. We expect that the information overload and invasion of privacy will be solved by the proposed recommendation procedure in ubiquitous environment.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.352-360
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• 2014

This study is based on the results from the previous one. It proved that perceived usefulness, perceived ease of use, perceived service quality, perceived risk are the independent variables. Research model and hypotheses by using the use intention and recommended intention as the dependent variable. The results were as follows: First, perceived usefulness and perceived service quality have positive effects on use intention and recommended intention. Second, perceived risk has negative effects on use intention and recommended intention. Third, the perceived ease of use has positive effect on use intention in Social Commerce, in contrast, it has no significant effect on use intention in Online Shopping. The results of this study presented the proposal for operators at social commerce area.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.267-273
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• 2020

Beacon is a wireless communication device that can automatically recognize the smart device in the short distance and transmit the necessary data, Beacon is a representative Internet of Things (IoT) facility in the era of the 4th Industrial Revolution, which is utilized in various fields such as short-distance information delivery, mobile location service, shopping, and marketing, and is constantly evolving. In this paper, it is based on tourist site-based recommendation information service. A system is proposed that recommends customized information according to the user's interest, preference, etc. by incorporating beacon technology. In other words, it acts as an information agent that informs tourists of desired information. In order to meet the needs of tourists, it is necessary to build an intelligent tourism recommendation system. The personalized Korean food and tourism recommendation management system using the beacon technology proposed in this paper is expected to provide high-quality services not only to foreigners visiting Korea but also to Korean tourists.