• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.312-319
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• 2021

This study aims to help users to have a more satisfying encounter based on the problems found by comparing and analyzing similar applications. That is, an application that derives intermediate points through the subway, which is a public transportation means, and provides information on nearby convenience facilities was proposed. The middle point calculation process uses the dijkstra algorithm, which stores the minimum number of nodes in the stored path from the first input location to the last location. The stack and arraylist are used to search all paths from the first input position to the last position, and then the path with the smallest number of nodes is selected. After that, the number of stations in the route is divided in half and the resulting station is output. In addition, this study provides information on convenience facilities near intermediate points in order to have differences from similar applications. It categorizes within a 1km radius of the point and provides a function that helps to conveniently identify only facilities around the middle point. In particular, by visualizing the number of convenience facilities with radar charts and numbers, it is possible to grasp the commercial district around the midpoint at a glance.

• Management & Information Systems Review
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• v.36 no.4
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• pp.129-148
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• 2017

Conventional exhibition management information systems recommend tourist attractions that are close to the place in which an exhibition is held. Some recommended attractions by the location-based recommendation could be meaningless when nothing is related to the exhibition's topic. Our goal is to recommend attractions that are related to the content presented in the exhibition, which can be coined as content-based recommendation. Even though human exhibition curators can do this, the quality is limited to their manual task and knowledge. We propose an automatic way of discovering attractions relevant to an exhibition of interests. Language resources are incorporated to discover attractions that are more meaningful. Because a typical single machine is unable to deal with such large-scale language resources efficiently, we implemented the algorithm on top of Apache Spark, which is a well-known distributed computing framework. As a user interface prototype, a web-based system is implemented that provides users with a list of relevant attractions when users are browsing exhibition information, available at http://bike.snu.ac.kr/WARP. We carried out a case study based on Korean Tourism Organization Linked Open Data with Korean Wikipedia as a language resource. Experimental results are demonstrated to show the efficiency and effectiveness of the proposed system. The effectiveness was evaluated against well-known exhibitions. It is expected that the proposed approach will contribute to the development of both exhibition and tourist industries by motivating exhibition visitors to become active tourists.

• KIISE Transactions on Computing Practices
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• v.22 no.8
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• pp.375-380
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• 2016

The proliferation of online social networking services (OSNSs) and smartphones has enabled people to easily make friends with a large number of users in the online communities, and interact with each other. This leads to an increase in the usage rate of OSNSs. However, individuals who have immersed into their digital lives, prioritizing the virtual world against the real one, become more and more isolated in the physical world. Thus, their socialization processes that are undertaken only through lots of face-to-face interactions and trial-and-errors are apt to be neglected via 'Add Friend' kind of functions in OSNSs. In this paper, we present a friend recommendation system based on the on/off-line contextual information for the OSNS users to have more serendipitous offline interactions. In order to accomplish this, we modeled both offline information (i.e., place visit history) collected from a user's smartphone on a 3D tensor, and online social data (i.e., friend relationships) from Facebook on a matrix. We then recommended like-minded people and encouraged their offline interactions. We evaluated the users' satisfaction based on a real-world dataset collected from 43 users (12 on-campus users and 31 users randomly selected from Facebook friends of on-campus users).

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.301-309
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• 2019

This research's purpose is figuring out the influencing factor on nail salon visitors recommendation intention. For this research, survey data of 305 men and women in their 10s to 50s were gathered in the area. Gathering the surveys, 170 people who did not have insincere response and problematic toenails were excluded. The rest 135 was used for the study. After analyzing the outcome (F=5.588, p<.01), from problematic toenails in the ingrown toenails there was a statistical significant difference. In foot care and location, the difference effectiveness is care/home remedy/pharmacy.(F=4.319, p<.01). Looking at recommendation intention for problematic toenails at the nail salon (F=15.152, p<.01). In addition, is it possible for the nail salon to improve as well as to prevent problematic toenails, can the nail salon care for problematic toenails, foot care behavior, intention of visiting nail salon on recognition of professionalism influences on nail salon recommendation intention by statically appeared to be significant (F=16.847, p<.001). Therefore, this research recognizes and raises the nail salon visitors quality on problematic toenails. Following problematic toenails type, we can further extend to improve as well as to prevent judging from the given data.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2689-2692
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• 2014

Purpose: To investigate the risk factors for appendiceal metastasis of epithelial ovarian cancer and compare findings with the previous studies. Materials and Methods: One hundred and thirty-four patients with epithelial ovarian cancer were assessed in this study. All of them had undergone a surgical procedure including appendectomy. Of these, 21 (15.7%) patients who had appendiceal metastasis were analyzed as the case group and the patients with no metastasis were the controls, compared according to stage, grade, histology of tumor, preoperative Ca125 levels, presence of ascites, peritoneal cytology, diameter and site of tumor considered as risk factors. Results: We found statistically significant differences between the groups in terms of stage, grade, right-sided tumor location, presence of ascites, diameter of tumor${\geq}10cm$ and positive peritoneal cytology (p<0.05). In the logistic regression model, stage, grade, presence of ascites, right-sided location and diameter of tumor were independent risk factors. ROC curve analysis showed that stage, grade and diameter of the tumor were discriminative factors for appendiceal metastasis. Conclusions: In epithelial ovarian cancer, stage, grade, presence of ascites, right-sided location and large tumor size have importance for estimation of risk of appendiceal metastasis. As we compare our findings with previous studies, there is no definite recommendation for the risk factors of appendiceal metastasis in epithelial ovarian cancer and more studies are needed.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.135-141
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• 2011

Mobile communication technology in the field of ubiquitous computing is one of important technologies. The development of GPS technology in mobile communications technology and PDA, the vast majority of mobile devices such as smart phones also being equipped with GPS functionality. This user where they are located where they are based on the number of through services were able to receive information. In this paper, mounted on a mobile device user's location using GPS capabilities to track the migration routes and the accumulated user to determine the migratory path of the system used to recommend the proposed route of the proposed method and system Designs. The services offered by tracking the location of the user to move the user to route data to create and upload to the server. Upload a migration path to move data from where they currently reside to the user is recommended to go to your destination. The services offered by the users do not know where to travel or go to your destination, etc. If you do not remember the path can be useful.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.287-292
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• 2012

In this paper, user personalized services through the emotion perception required to support location-based sensing data preprocessing techniques and emotion data preprocessing techniques is studied for user's emotion data building and preprocessing in V-A emotion model. For this purpose the granular context tree and string matching based emotion pattern matching techniques are used. In addition, context-aware and personalized recommendation services technique using probabilistic reasoning is studied for personalized services based on context awareness.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.59-78
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• 2006

The purpose of this study is to make an recommendation for planning of widely representative library building in Jeollabuk-do based on the standards of three library components; facilities. materials and personnel. For research, the methodology of analysis of literature and case study on already established representative libraries was conducted. And the analysis on regional current circumstance to obtain standards of the representative library was conducted. As a results of this study a model of widely representative library building is presented regards on location, facilities and organization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6441-6446
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• 2013

The smart phone is a representative personal device that can provide information onan individual's behavior related to real-life places, where the mobile phone users frequently stay and go, and the people who call or meet with the user. This paper proposes moving modeling that is based on the individual life logs using mobile phone data for identifying individuals. This method can be used to recommend the most suitable phone-service.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.427-430
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• 2007

무선 인터넷 환경의 발달로 무선 인터넷 사용이 증가하고 있다. 모바일 단말기 특성상 검색어 입력의 어려움이 존재한다. 이러한 문제점을 해결하기 위해 입력 버튼의 개선과 방식의 변화, 추가적인 저장공간을 두어 자주 쓰는 단어를 저장하는 방법등으로 개선하여 왔다. 또한 모바일 단말기의 특성인 이동성은 고려를 하는 방법은 사용되지 안았다. 본 논문에서는 검색어 추천 시스템을 통해 입력의 횟수를 줄이고, 검색의 정확성을 높이기 위해 이동성을 고려한 검색방식을 제안한다.