• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2459-2472
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• 2022

With the increase in copyright content exports to overseas markets due to the recent globalization of the Korean culture, the added value of the Korean digital content market is increasing at a significant rate. As such, as the size of the copyright market increases, different piracy sites have emerged that generate profits by illegally distributing works without the permission of the copyright holders, resulting in direct and indirect damage to these copyright holders. The existing copyright detection methods used in public institutions for solving this problem are limited, while the piracy sites are ever-changing. Methods are being continuously developed to achieve better detection results. To this end, it is possible to detect the latest infringement site domain by detecting the infringement site domain that is constantly changed through the search engine. This paper proposes an improved piracy site detection method using a search engine to prevent the damage caused by piracy sites.

• 가정과삶의질연구
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• 제20권6호
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• pp.95-107
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• 2002

This study examined which factors were related to the amount of consumer information and the level of consumer satisfaction in electronic commerce. The sample (n＝ 426) was composed of those who had already engaged in e-commerce. T-test and ANOVA were completed to investigate how the amount of information and the level of satisfaction differ by socioeconomic, internet-related, and purchase-related characteristics of the consumers. The results of this study were as follows: First, consumers who were female and college graduates were more likely to search lots of information in e-commerce. The amount of consumer information was positively related to both the years of internet experiences and the time used on internet per day. Second, consumers who were male, aged on 30s, and who were college graduates with higher incomes were more likely to gather information about product functions, while consumers who were female with less experiences of internet shopping were more likely to consider the brand name. Third, income and education level were positively associated with the level of consumer satisfaction in e-commerce. Those who have experienced lots of purchase in e-commerce were generally satisfied with the shopping in e-commerce. Fourth, the amount of consumer information was positively related to the level of consumer satisfaction, especially satisfaction regarding product qualify and the convenience of shopping in e-commerce.

• Journal of Information Processing Systems
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• 제19권5호
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• pp.590-601
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• 2023

University books are an important information resource. University book resources can be shared not only in the traditional paper form, but also electronic form under the background of the Internet. In order to better manage the sharing of electronic book resources in universities, this study put forward three resource sharing strategies: centralized sharing strategy, distributed sharing strategy, and centralized-distributed sharing strategy by analyzing the combined development of books and the Internet as well as the significance and development of book resource sharing. The centralized sharing strategy, however simple, was difficult to handle large traffic; while the resource nodes were independent and self-consistent, the distributed sharing strategy was not easy to find and had a high repetition rate. Combining the advantages of both strategies, the centralized-distributed sharing strategy was more suitable for the heterogeneous form of university book sharing. Finally, a teaching resources sharing platform for university libraries was designed based on the strategy of centralized and distributed sharing, and three interfaces including platform login, resource search, and resource release were displayed. The results of the simulated comparison experiment showed that centralized and distributed sharing strategies had limitations in resource searching and had low efficiencies; the efficiency of the centralized strategy reduced with an increase in search subjects; however, the centralized-distributed sharing strategy was able to search more resources efficiently and main stability.

• 인터넷정보학회논문지
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• 제12권2호
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• pp.63-73
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• 2011

일반적으로 기존 검색엔진은 다수 사용자의 동일한 질의에 대하여 일률적으로 같은 검색 결과를 제공하는데, 이는 사용자 개인의 특성을 고려하지 않는 단점을 가진다. 이를 극복하기 위해서 사용자가 가지고 있는 검색 의도를 파악하여 그에 부합하는 결과를 제공하는 개인화 검색이 필요하다. 본 논문에서는 사용자 프로파일 기반 개인화 검색을 위한 시스템을 제안한다. 본 시스템에서는 개인화 검색을 이루기 위해 개념 네트워크 형태의 사용자 프로파일을 구성하며, 이는 사용자가 과거에 질의했던 질의어와 탐색했던 웹문서를 분석하여 자동 생성된다. 그리고 사용자가 웹문서에 대해 태그를 지정한 폭소노미 데이터를 이용하여, 개념 네트워크를 확장함으로써 개념 네트워크의 정확성을 더욱 높일 수 있다. 이 개념 네트워크를 이용하여 사용자가 부여한 질의어를 확장시킬 수 있을 뿐만 아니라, 검색결과의 중첩도를 고려하여 사용자별 검색 결과의 순위를 재산정 함으로써 개인의 특성을 반영한 검색 결과를 제공할 수 있다.

• 대한가정학회지
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• 제40권12호
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• pp.85-108
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• 2002

The objectives of this study were to investigate the trend of the attitude and the behavior about consumer's internet premium advertisement and its application and the factors which influence on the attitude and the behavior about consumer's premium advertisement and its application; the demographic variables, internet communication-environment variables and variables in relation to consumer's premium advertisement application. For these purpose, the data collected two way: internet survey and questionnaire survey. The data used in this study included people who have looked an internet Premium Advertisement more than once during internet use. Major findings were as following: (1) The attitude of internet premium advertisement and its application could be described as the mean 34.16 md 24.61 separately(3.11 and 2.73 point on 5.00 points scale). The behavior of application about internet premium advertisement was measured as a behavior of application whether or not; application 18.7% and unapplication 81.3%. (2) The attitude of application about internet premium advertisement was significantly different according to age, joining frequency on internet, past experience of winning a premium, purchasing information search, interesting connection on the internet, the risk about the money loss and negative evaluation of other persons, the economical values of premiums, winning possibility, and preferable premiums. The behavior of application about internet premium advertisement, the behavior of application whether or not was significantly different according to sex, age, school career, a circuit speed, a period of using, joining frequency and a using place, past experience of winning a premium, purchasing information search, interesting connection on the internet, the risk about the negative evaluation of other persons, the economical values of premiums, winning possibility, and preferable premiums. (3) When looking at the influence of variables about the attitude of application about internet premium advertisement, the most influence variables was the past experience of winning a premium, and next was winning possibility, sex, the interest about the premiums which made the consumer want to apply, the economical values of premiums, the purpose of purchase information search and the using time. The explanation of those variables were 22.6%. As the result of the Logistic analysis, it was found that the frequency of the internet connection, the past experience of winning premiums, the risk about the outflow of credit information, interesting premiums, and premium advertisement were the most important variables to affect the possibility of the behavior of application about internet premium advertisement critically.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권7호
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• pp.2468-2487
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• 2015

In web searching, trustable and precise results are greatly affected by the inherent uncertainty in the input queries. Queries submitted to search engines are by nature ambiguous and constitute a significant proportion of the instances given to web search engines. Ambiguous queries pose real challenges for the web search engines due to versatility of information. Temporal based approaches whereas somehow reduce the uncertainty in queries but still lack to provide results according to users aspirations. Web search science has created an interest for the researchers to incorporate contextual information for resolving the uncertainty in search results. In this paper, we propose an Adaptive Disambiguation Approach (ADA) of hybrid nature that makes use of both the temporal and contextual information to improve user experience. The proposed hybrid approach presents the search results to the users based on their location and temporal information. A Java based prototype of the systems is developed and evaluated using standard dataset to determine its efficacy in terms of precision, accuracy, recall, and F1-measure. Supported by experimental results, ADA demonstrates better results along all the axes as compared to temporal based approaches.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3041-3063
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• 2018

Community search aims at finding a meaningful community that contains the query node and also maximizes (minimizes) a goodness metric. This problem has recently drawn intense research interest. However, most metric-based algorithms tend to include irrelevant subgraphs in the identified community. Apart from the user-defined metric algorithm, how can we search the natural community that the query node belongs to? In this paper, we propose a novel community search algorithm based on the concept of the k-hop and local distance dynamics model, which can naturally capture a community that contains the query node. The basic idea is to envision the nodes that k-hop away from the query node as an adaptive local dynamical system, where each node only interacts with its local topological structure. Relying on a proposed local distance dynamics model, the distances among nodes change over time, where the nodes sharing the same community with the query node tend to gradually move together, while other nodes stay far away from each other. Such interplay eventually leads to a steady distribution of distances, and a meaningful community is naturally found. Extensive experiments show that our community search algorithm has good performance relative to several state-of-the-art algorithms.

• 정보관리학회지
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• 제31권2호
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• pp.79-97
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• 2014

본 연구는 네이버 전문정보, 구글 스칼라, 그리고 MS Academic Search에서 제공하는 학술정보서비스에 대한 특성을 살펴보고 135명의 대학생을 대상으로 그 이용 및 품질에 대해 콘텐츠, 서비스 및 효과성을 중심으로 비교 평가 하였다. 분석결과 콘텐츠 부분에서는 구글 스칼라에 대한 이용자 평가가 높게 나타났고, 검색성의 경우 구글 스칼라가, 디자인 부분에서는 네이버 전문정보가 상대적으로 높게 평가되었다. 접근성에 있어서는 네이버 전문정보와 구글 스칼라가 MS Academic Search보다 높게 평가되었고, 정보의 유용성과 이용자 만족도에서는 구글 스칼라가 다른 포털 학술정보서비스보다 높게 평가되었다.

• 한국식생활문화학회지
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• 제21권4호
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• pp.375-380
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• 2006

The purpose of this study was to research eating-out information search methods according to college student's lifestyle and their influences on overall satisfaction at fast-food restaurants in eastern province of Kangwondo. Lifestyle was divided into 7 factors and 6 clusters. According to the results, information search methods through Newspaper, magazine and word of mouth were used the most preferably by Cluster 3, 'Brand preference intention'. And TV advertising was used the most preferably by Cluster 4, 'Convenience intention', and the advertisement through internet was used the most preferably by Cluster 5, 'Health ${\cdot}$ effort intention'. However, Information searches through TV advertising and word of mouth had negative influence on the overall satisfaction. But method through internet had positive influences on the overall satisfaction. Eventually, it's proved that information search methods had significant differences according to student's lifestyle. And some information search methods influenced their overall satisfaction. Therefore, food-sonics corporations need to try reducing negative images of various advertisements and activating positive aspects of specialized promotion instruments.

• 한국인터넷방송통신학회논문지
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• 제12권2호
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• pp.69-76
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• 2012

본 논문은 웹 검색 개인화를 실현하기 위해 개념네트워크 구조의 사용자 프로파일에 기반한 새로운 형태의 순위 재조정 기법을 제안한다. 기본적으로 개인화 검색은 개인 사용자의 검색 성향을 담고 있는 사용자 프로파일을 기반으로 이루어지며, 이를 활용하여 초기에 주어진 검색 질의어를 확장하거나 검색결과의 순위를 재조정하게 된다. 제안 기법은 순위 재조정 기법을 주축으로 질의어 확장 기법을 융합한 형태를 취한다. 기본 아이디어는 사용자 프로 파일에 의해 추천된 확장 질의어로부터 도출된 문서집합들에 공통적으로 출현하는 문서들의 중첩도를 평가하여, 그 결과값을 순위 재조정에 활용하는 것이다. 성향이 다른 다수의 실험자들이 검색 질의어 유형을 구분하여 실험을 수행함으로써 제안기법이 기존 기법에 비해 우수함을 보인다.