• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.189-212
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• 2021

The purpose of this study is to analyze an usage behavior for the public library website through web traffic. For this purpose, using Google Analytics and growth hacking technique, the data of A public library website log was analyzed for three months from August 1, 2021 to October 31, 2021. As a result of the study, the young age group of 18-24 years old and 25-34 years old recorded a high rate of new member registration, & it was found that the inflow rate through SNS was high for external inflows. As a result of analysis for the access rate by time, it was found that the time with the highest inflow rate was between 10 am and 11 am both on Wednesday and Friday. As a access channel, the access rate using mobile (64.90%) was quite high, but at the same time, the bounce rate (27.20%) was higher than the average (24.93%), & the rate of duration time (4 minutes 33 seconds) was lower than thee average (5 minutes 22 seconds). Finally, it was found that the utilization rate of reading program events and online book curation service, which the library focuses on producing and promoting, is very low. These research results can be used as basic data for future improvement of public library websites.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.189-195
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• 2018

With the advent of the digital age, production and distribution of web pages has been exploding. Internet users frequently need to extract specific information they want from these vast web pages. However, it takes lots of time and effort for users to find a specific information in many web pages. While search engines that are commonly used provide users with web pages containing the information they are looking for on the Internet, additional time and efforts are required to find the specific information among extensive search results. Therefore, it is necessary to develop algorithms that can automatically extract specific information in web pages. Every year, thousands of international conference are held all over the world. Each international conference has a website and provides general information for the conference such as the date of the event, the venue, greeting, the abstract submission deadline for a paper, the date of the registration, etc. It is not easy for researchers to catch the abstract submission deadline quickly because it is displayed in various formats from conference to conference and frequently updated. This study focuses on the issue of extracting abstract submission deadlines from International conference websites. In this study, we use three machine learning models such as SVM, decision trees, and artificial neural network to develop algorithms to extract an abstract submission deadline in an international conference website. Performances of the suggested algorithms are evaluated using 2,200 conference websites.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.49-71
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• 2003

Due to rapid development of internet, it is easy to use extensive information networks of all over the world. Also development of information technology made all entities share information. Before internet websites were only used to give informations. If primary functions of research center's website are composed of supply of research data, exchange of information, and management of information, it is essential that efficient evaluation and reliable evaluation standards should be set up. This study's purposes are as follows. First, this investigates current status of RRC(Regional Research Center)'s websites. And deducted evaluation models, which can be applied to RRC based on literature study. By using the evaluation models, conducted evalution of websites both from internet users view and from outside experts view, and compared the two groups test results. Second, this study provides current problems of RRC's websites by analyzing the test results. Third, this study presents problems of RRC's websites management of primary funtions and management plans of RRC's websites.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.294-308
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• 2015

The purpose of this study was to look into the service quality of websites and the attributes of review information thereon as perceived by visitors thereto and to analyze the effect that the service quality of festival websites and informative usefulness of testimonials would have on the satisfaction with use, along with the effect that the satisfaction with use would have on behavioral intention. Based on the results of this study, we intended to present measures that could help strengthen the intention to spread positive word-of-mouth for festivals and to visit a festival through satisfaction with a festival's website. The festival selected to achieve the objectives of this study was the Yeongdeok Snow Crab Festival, which is one of the most renowned local food festivals in the Gyeongbuk region, having been held for 17 consecutive years, and has been selected as the top festival of Gyeongsangbuk-do for 4 consecutive years. We surveyed visitors to Yeongdeok Snow Crab Festival who had searched for information on the Yeongdeok Snow Crab Festival prior to its opening, as well as those who had participated in Yeongdeok Snow Crab Festival before. The results of this study showed that review information on a food festival website, service quality design, adequacy of substance, responsiveness to customers, and system capability were found to have a positive effect on behavioral intention through satisfaction with use. The findings suggest that it is crucial to manage the service quality of websites in order to stimulate interest in, and induce visits to, food festivals.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.899-911
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• 2005

This paper conducts an explanatory analysis of the web sphere produced by National Assemblymen in South Korea, using some statistical methods. First, some descriptive metrics were employed. Next, the traditional methods of multi-variate analyses, multidimensional scaling and corresponding analysis, were applied to the data. Finally, cross-sectional data were compared to examine a change over time.

• Journal of the Korean Data and Information Science Society
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• v.15 no.2
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• pp.317-329
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• 2004

The Web log has caught much attraction for tracing of customer activity. So many researches have been carried on it. As a result, Web log analysis solutions has been developed and launched lately. It has been in the spotlight to the website administrators and people in practical marketing business. In this paper, we made an analysis on the various behavior patterns of customers in cooperation with SAS/AF and SCL modules, based on development of GUI from SAS package for disposal of statistical data.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.175-178
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• 2013

웹의 발달과 전자정부의 지향으로, 행정기관의 웹사이트를 통한 민원처리가 증가하고 있다. 게시판을 통해 이용자가 민원을 제기하면, 각 기관에서는 담당자를 배정해 처리하지만 해당 게시물을 공기록으로 보존하지는 않는다. 공공사이트를 통한 투명한 행정을 위해서는 게시물도 공기록물로 보존하는 체계가 마련될 필요가 있다. 이를 위해, 정부기능연계모델(BRM)을 기준으로, 공공사이트의 게시글을 자동으로 분류하는 시스템을 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1158-1159
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• 2013

It gives to users a difficulty for searching between this huge numbers of programs. Searching the best applications for our needs is a big challenge today. In this paper, we propose a study on collaborative filtering based app recommendation system. The proposed method is composed of three steps. In the first step, we extract the data set from the target website. In the second step, we parse the extracted raw data according to the types, and store in a database. In the third, we perform recommendations based on the stored data in database.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.253-254
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• 2022

본 논문에서는 많은 IT 기업들이 학력과 전공에 상관없이 개발자를 채용하는 상황에서 가장 중요시되는 코딩 테스트를 더욱 쉽게 접근할 수 있도록 자료구조 및 알고리즘 이론을 학습하며 사용자 간 서로 경쟁하며 취업을 준비하는 데 도움이 되는 시스템을 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1257-1260
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• 2021

1인 가구 수의 증가로 시장에서 1인 가구를 위한 서비스와 재화가 제공되고 있고, 시장에서 소비자로서 입지를 다지고 있음에도 합리적인 가격에 소비하지 못하고 있다. 사용자들이 스스로 주최하는 공동구매를 통해서 합리적이고, 친환경적이고, 소비자 후생적인 소비를 도모하고, 나아가 1인 가구 웹 커뮤니티 형태로 발전하길 기대한다.