• Journal of KIISE:Software and Applications
• /
• v.31 no.8
• /
• pp.1062-1072
• /
• 2004

Collaborative filtering systems based on ｛user-document｝ matrix are effective in recommending web documents to user. But they have a shortcoming of decreasing the accuracy of recommendations by the first rater problem and the sparsity. This paper proposes the automatic preference rating method that generates user profile to solve the shortcoming. The profile in this paper is content-based collaborative user profile. The content-based collaborative user profile is generated by combining a content-based user profile with a collaborative user profile by mutual information method. Collaborative user profile is based on ｛user-document｝ matrix in collaborative filtering system, thus, content-based user profile is generated by relevance feedback in content-based filtering systems. After normalizing combined content-based collaborative user profiles, it automatically rates user preference by reflecting normalized profile in ｛user-document｝matrix of collaborative filtering systems. We evaluated our method on a large database of user ratings for web document and it was certified that was more efficient than existent methods.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.10 no.9
• /
• pp.1590-1595
• /
• 2006

This paper proposes a technique of user oriented document ranking using user refile to provide more satisfied results which reflect preference of specific users. User profile is constructed to represent his or her preference. User pfofile consists of 'term array' and 'preference vector' according to the interest field of one. And the User profile for a particular person is updated by 'user access', 'latent relaeon', 'User Profile' proposed in this paper. The latent structures of documents in same domain are analysed by singular value decomposition(SVD). Then, the rank of documents is determined by comparison of user profile with analyzed document on the basis of relevance.

• Journal of the Korean Society for information Management
• /
• v.31 no.3
• /
• pp.271-291
• /
• 2014

The purpose of this study is to analyze undergraduate nursing students' electronic document use and reading behavior. To do this, a survey questionnaire was collected from 509 respondents who experienced reading behavior for the last semester. The results of this study show that nursing students' preference of electronic documents is higher than that of printed documents in general. They also prefer electronic documents to printed documents when they want to keep documents. Of respondents, about 94% or higher spent 30mins or more to find information and the main source to find information is 'Naver' search engine as the highest information source, and the place to access information is 'Home' as their highest information access location. In particular, the preference of the document 'on the move' is electronic documents and the main reason includes convenience and easiness to access and move the documents. The findings of this study expect to facilitate the understanding of undergraduate nursing students electronic document use and reading behavior so that it can be used to design and develop medical digital library services and tools more effectively and efficiently in medical area in the future. Furthermore, it expects to provide useful data in promoting user services in digital library in a whole.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.1
• /
• pp.29-37
• /
• 2015

Nowadays, the user-centric application based web 2.0 has replaced the web 1.0. The users gain and provide information by interactive network applications. As a result, traditional approaches that only extract and analyze users' local document operating behavior and network browsing behavior to build the users' preference profile cannot fully reflect their interests. Therefore this paper proposed a preference analysis and indicating approach based on the users' communication information from MicroBlog, such as reading, forwarding and @ behavior, and using the improved PersonalRank method to analyze the importance of a user to other users in the network and based on the users' communication behavior to update the weight of the items in the user preference. Simulation result shows that our proposed method outperforms the ontology model, TREC model, and the category model in terms of 11SPR value.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.4
• /
• pp.443-450
• /
• 2005

In this paper, we propose an intelligent model lot extraction of the web user's preference and present the results of evaluation. For this purpose, we analyze shortcomings of current information retrieval engine being used and reflect preference weights on learner. As it doesn't depend on frequency of each word but intelligently learns patterns of user behavior, the mechanism Provides the appropriate set of results about user's questions. Then, we propose the concept of preference trend and its considerations and present an algorithm for extracting preference with examples. Also, we design an intelligent model for extraction of behavior patterns and propose HTML index and process of intelligent learning for preference decision. Finally, we validate the proposed model by comparing estimated results(after applying the Preference) of document ranking measurement.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10c
• /
• pp.156-158
• /
• 1998

정보의 가치 증대와 사용자의 정보획득 욕구가 증대됨에 따라 개인 위주의 정보검색 시스템의 필요성이 대두되고 있다. 따라서 본 논문에서는 특정 개인의 관심(interest)과 선호도(preference)를 반영하여 최적의 검색결과를 제공하기 위하여 사용자 프로파일을 구축하고, 통계적 분석 방법 이용하여 문서순위결정을 수행하는 방안을 제안한다.

• Journal of the Korean Home Economics Association
• /
• v.26 no.1
• /
• pp.97-108
• /
• 1988

The purpose of this study is to classify the type of the Korean document chest, mungab through the literature and market survey and to investigate the preference on characteristics of the mungab. It also attempts to find out the aesthetic perception of the type of mungab by using semantic differential scales. A pilot study was conducted to select the types and pictures of the mungab. Three types and six pictures of mungab were selected. Six hundred homemakers of middle and upper class residing in seoul area were selected for the survey and 449 among them were used for data analysis. Data were analyzed using the SPSS program. The major findings are as follows: 1) The esult of pilot test, the presentative characteristics of mungab were classified into naive type, unique type, and elaborate type. 2) it was found that the modernized style of traditional mungab was wood grain and the next one was Najonchiligi. In the characteristics of decoration which was symbolic pattern, Shi-Jang-Saeng was predominant. In wanting style when they buy, the modernized style of traditional Korean chest was predominant, too. 3) Young and low income group preferred modern style using transparent paint and Sa-Goon-Ja, letters in the symbolic patterns of decoration. Old and high income group preferred traditional style using splendid and expensive materials and Ship Jang Saeng in the symbolic decoration. 4) compared with types of mungab in aesthetic perception, modern style of the traditional mungab was evaluated more positively than traditional style. The young and low income group perceived the naive type and unique type positively, but the old and high income group perceived the elaborate type the most positively.

• The Journal of Korean Association of Computer Education
• /
• v.13 no.1
• /
• pp.45-52
• /
• 2010

With rapid increase in the number of web documents, the problem of information overload in Internet search is growing seriously. In order to improve web search results, previous research studies employed user queries/preferred words and the number of links in the web documents. In this study, performance of the search results exploiting these two criteria is examined and other preference criteria for web documents are analyzed. Experimental results show that personalized web search results employing queries and preferred words yield up to 1.7 times better performance over the current search engine and that the search results using the number of links gives up to 1.3 times better performance. Although it is found that the first of the user's preference criteria for web documents is the contents of the document, readability and images in the document are also given a large weight. Therefore, performance of web search personalization algorithms will be greatly improved if they incorporate objective data reflecting each user's characteristics in addition to the number of queries and preferred words.

• Journal of the Korean Home Economics Association
• /
• v.25 no.1
• /
• pp.69-82
• /
• 1987

The purpose of this study was to investigate the degree of discrimination and current usage of traditional furniture by people in contemporary society. Interest and preference for traditional furniture were also examined. The major findings were; 1) The traditional furniture owned by respondents were mainly document chest(mungab), dining table(soban) and open etagre(sabang-takja). Book cases(chaikjang) were rarely owned. Function of some furniture such as single shelf chest(danchung-jang), kitchen cabinet(chantak) and desk(suban) have been changed. 2) Highly discriminated tiradtional furniture were document chest(mungab), wardrobe(chest-jang) and dining table(soban). The degree of discrimination of letter rack(gobi), kitchen cabinet(chantak) and bookcases(chaikjang), however, were very low. 3) There was significant relation between discriminating ability and interest for the furniture and the status of posession of it. 4) Some socio-demographic variables were related to distriminating ability of the furniture. The group in high educational and economic level showed high discriminating ability of the furniture than those in lower levels. 5) These was positive correlation between discriminating ability and interest. The more interest, the higher discriminating ability. 6) Most preferred traditional furniture at present were three shelved clothing chest(samchung-jang), document chest(mungab), wardrobe chest(euiguri-jang) and open etagere(sabang-takja).

• Journal of Internet Computing and Services
• /
• v.2 no.5
• /
• pp.9-19
• /
• 2001

In this paper. we develop associate knowledge extraction method for finding and expanding user preference knowledge automatically from web document database. To reflect user interest or preferences, agent explores and extracts relevant information to central term involving the intent of users from the example documents. To do so, we apply association rule exploration data-mining method to the extraction of the relevant objects in the web documents. Also, to give the weighted-value to the extracted and relevant information, we present associate tag block-based weighting method. We applied to bioinformatics above associate knowledge extraction method to find related keywords.