• Journal of the Korea Computer Industry Society
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• v.3 no.7
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• pp.881-890
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• 2002

In this paper, by using agent technology, we proposes and implements the search system that supplies the result close to the user preference through the analysis of user preference. To offer better qualified information to user without redundant search results and unnecessary information of legacy search system. this system uses user's information and generates keywords and categories. Comparing user's favorite category with search result of legacy search system through the agent oriented search engine, it supplies only the result close to the user's category. At the same time, search result is saved into the databases according to each category to be used for search work later. As a result, the redundant information of search result was efficiently removed and the information close to the user's favorite category was obtained.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.3
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• pp.133-144
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• 2014

Naver, a leading search engine in South Korea, may show modified and reorganized search results for some trendy and popular keywords; when popular words such as the titles of soap operas and films are searched for,all the detailed and well-organized information regarding them can be presented. By recognizing that search engines may modify and reorganize search results for some popular keywords, we mathematically model the impact of the degree of modification of search results on the search engine's profit to derive its optimal modification degree. We show how the optimal degree of search result modification may change according to the different shapes of the search engine's advertising revenue function.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.5
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• pp.880-886
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• 2016

With lots of information occurring on the Internet, the search engine plays a role in gathering the scattered information on the Internet. Some search engines show not only search result pages including search keyword but also search result numbers of the keyword. The number of keyword searching result provided by the Google search engine can be utilized to identify overall trends for this search word on the internet. This paper is aimed designing and realizing the system which can efficiently manage the number of searching result provided by Google search engine. This paper proposed system operates by Web, and consist of search agent, storage node, and search node, manage keyword and search result, numbers, and executing search. The proposed system make the results such as search keywords, the number of searching, NGD(Normalized Google Distance) that is the distance between two keywords in Google area.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.202-211
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• 2020

This study examined the effects of online search service users' experiences on search satisfaction by the types of main search results. As a result of the survey, the negative experience of using the search result in the specific service area among the integrated search results is the most irrelevant regardless of the type of search result with the lowest usage rate. In particular, users are often exposed to advertising information and valuable or low useful information, and information inaccuracy, bias, and personal information leakage experience are relatively higher than other search results. Satisfaction by type of search result of online search service showed only difference in interest of search result, and no other satisfaction factor was found by type of search result. Looking at the experience factors that affect the satisfaction of each type of search results, in the case of general integrated search results except search websites such as search ads and search ads, the more accurate information is provided, the more satisfied the search results are. In the case of, the provision of high value and useful information has a positive effect on satisfaction. After all, it is implied that online search service providers should consider the highest priority for improving the service, improving the accuracy of information and the value and usefulness of information.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.15 no.1
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• pp.1-10
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• 2009

In these days everyone search the information easily with the Internet as the rapid distribution and active usage of the Internet. The search engines were developed specially to accuracy of information retrieval. User search the information more quickly and variously with them. The search portal system will be embossed with representation and basic services. The Internet user needs the result of text, image and video, knowledge search. The keyword based search is used generally for getting result of the information retrieval and another method is category based search. This paper investigates the classification of knowledge search structure for oriental medicine in market leader of search portal system by ranking web site. As a result, each classification system is unified and there is a possibility of getting up a many confusion to the user who approaches with classification systematic search method. This treatise proposed the improved oriental medicine classification system of internet information retrieval in knowledge search area. if the service provider amends about the classification system, there will be able to guarantee the compatibility of data. Also the proper access path of the knowledge which seeks is secured to user.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.8 no.1
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• pp.197-227
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• 1997

The main purpose of this study is ① to settle and to analyze the classification of the Internet Search Engine comparitively, and ② to build the compatible model of Internet Search Engine classification in order to seek information on the Internet resources. specially in the branch of the Computers and Internet areas. For this study, four Internet Search Engine (Excite, 1-Detect, Simmany, Yahoo Korea!), Inspec Classification and two distionaries were used. The major findings and result of analysis are summarized as follows : 1. The basis of the classification is the scope of topics, the system logic, the clearness, the efficiency. 2. The scope of topics is analyzed comparitively by the number of items from each Search Engine. In the result, Excite is the most superior of the four 3. The system logic is analyzed comparitively by the casuality balance and consistency of the items from each Search Engine. In the result, Excite is the most superior of the four 4. The clearness is analyzed comparitively by the clearness and accuracy of items, the recognition of the searchers. In the result, Excite is the most superior of the four. 5 The efficiency is analyzed comparitively by the exactness of indexing and decreasing the effort of the searchers. In the result, Yahoo Korea！ is the most superior of the four. 6 The compatible model of Internet Search Engine classification is estavlished to uplift the scope of topics, the system logic, the clearness, and the efficiency. The model divides the area mainly based upon the topics and resources using‘bookmark’and‘shadow’concept.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2840-2861
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• 2020

The purpose of this survey-based study is to make an analysis of search engine users' behaviors on the Search Engine Results Pages (SERPs) based on the three demographic characteristics gender, age, and program studying. In this study, a questionnaire was designed with 12 closed-ended questions. Remaining questions other than the demographic characteristic related ones were about "tab", "advertisement", "spelling suggestion", "related query suggestion", "instant search suggestion", "video result", "image result", "pagination" and the amount of clicking results. The questionnaire was used and the data collected were analyzed with the descriptive statistics as well as the inferential statistics. 84.2% of the study population was reached. Some of the major results are as follows: Most of each demographic characteristic category (i.e. female, male, under-20, 20-24, above-24, English computer engineering, Turkish computer engineering, software engineering) have rarely or more click for tab, spelling suggestion, related query suggestion, instant search suggestion, video result, image result, and pagination. More than 50.0% of female category click advertisement rarely; however, for the others, 50.0% or more never click advertisement. For every demographic characteristic category, between 78.0% and 85.4% click 10 or fewer results. This study would be the first attempt with its complete content and design. Search engine providers and researchers would gain knowledge to user behaviors about the usage of the SERPs based on the demographic characteristics.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.19-37
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• 2016

Advance of the Internet environment is applied not only to information search but also to the area of consumption behavior. Current research analyzes online use behavior and online information search of consumers in terms of users' perception. With the result of the research, it is noticed that promotion focus brings broader variation of information use behavior, and utilitarian value has a beneficial impact on the online exploratory information search. In addition, it is revealed that the more exploratory the information search is, the wider the range of online shopping information search is. Finally, people who have utilitarian shopping value showed more exploratory behavior in online search, especially for the search of informational products, than those who have hedonic shopping value. Present research is believed to improve practical influence of consumers' personality on online use behavior when customers purchase search products online. As a result, it would contribute to consumer research and marketing held online.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.301-307
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• 2018

Generally, search engine summarizes the main contents of the search results so that user can click the site providing the information of the contents to search first. In this study, we demonstrated whether the user clicks on the search results based on the summary content provided by the search engine or on the order of the search result placement through empirical studies through the presentation of search results. By using the API provided by the search engine company, a search site that presents the search results in a regular and inverse order is created, and the click action of each user's search result is displayed in the order of actual click order, click position, and the user's search type such as the route of movement. As a result of the analysis, most users account for more than 60% of users who click on the first and second exposed search results regardless of the search results. It is confirmed that the search priority of users is determined according to the order of search results regardless of the summary of search results.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.103-106
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• 2007

The importance of intellectual property right becomes larger and the number of the person who uses a patent search is increasing. When considering the search pattern of the general user who uses only one or two search terms, it is not easy task to find desirable search result in the massive patent documents. So we present patent search system based on IPC Clustering which helps users confine the search result by using international patent classification (IPC) which provided from all patent documents. By using this system, the general users can find patent search result more effectively.