• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.4
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• pp.270-276
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• 2012

With the increase in amount of data and information available on the web, there have been high demands on personalized information retrieval services to provide context-aware services for the web users. This paper proposes a novel dynamic multi-agent context-awareness user profile construction method based on ontology to incorporate concepts and properties to model the user profile. This method comprehensively considers the frequency and the specific of the concept in one document and its corresponding domain ontology to construct the user profile, based on which, a fuzzy c-means clustering method is adopted to cluster the user's interest domain, and a dynamic update policy is adopted to continuously consider the change of the users' interest. The simulation result shows that along with the gradual perfection of the our user profile, our proposed system is better than traditional semantic based retrieval system in terms of the Recall Ratio and Precision Ratio.

• International Commerce and Information Review
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• v.6 no.1
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• pp.77-98
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• 2004

This paper examines the major determinants affecting the user satisfaction on e-Trade portal sites in small and medium-sized exporters. The development of our research model is based on the empirical studies on the service quality of information system, web sites or Internet shopping mall, and on the factors influencing the user satisfaction. With the help of a regression analysis and factor analysis, five hypotheses are derived and tested. The results from regression analysis suggest that the user satisfaction of e-Trade portal sites is affected by information characteristics and ease of use of e-Trade portal sites. In addition, the user satisfaction of e-Trade portal sites is enhanced by support for international trade. Our findings will be useful, especially for those who are planning to build user-oriented e-Trade portal sites.

• International Commerce and Information Review
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• v.10 no.3
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• pp.117-140
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• 2008

The purposes of the study are to measure the relative importance of independent variables, to analyze relation between user satisfaction and use, and to improve the level of user satisfaction in using e-Trade system(uTradeHub). The study develops the independent variables in three dimensions(i.e the quality of system, quality of information, and quality of service), estimates the level of satisfaction on a par with these variables, and analyzes the causal relation of these variables. The major findings of the study are as follows. First, there is a significant casual relationship between the quality of system and user satisfaction, thus the hypothesis is accepted. Second, there is a significant casual relationship between the quality of information and user satisfaction, thus the hypothesis is accepted. Third, there is a significant casual relationship between the quality of service and user satisfaction, thus the hypothesis is accepted. Final, there is a significant casual relationship between the user satisfaction and use, thus the hypothesis is accepted.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.213-225
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• 2012

The identified research result can be outlined more specifically as follows: first, informativeness of SNS was giving positive impact to some degree on the user satisfaction; second, connectivity of SNS was giving very positive impact on the user satisfaction; third, accessibility was giving very positive impact on the user satisfaction; forth, usability of SNS was giving very positive impact on the user satisfaction; fifth, amusement of SNS was giving very positive impact on the user satisfaction; the satisfaction level of SNS users gave positive impact on the further intention of SNS users. It was identified, however, that interactiveness of SNS was the factor that did not give much impact on the user satisfaction. This result comes from the analysis that SNS is convenient to actively explore and get further information that users wish to find, while they are insufficient in function to provide the information other users require or exchange information among users through the SNS.

• Journal of Integrative Natural Science
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• v.11 no.3
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• pp.131-138
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• 2018

In this paper, we have implemented speeches that utilized the emotion information of the user's speech and image matching and recommendation system. To classify the user's emotional information of speech, the emotional information of speech about the user's speech is extracted and classified using the PLP algorithm. After classification, an emotional DB of speech is constructed. Moreover, emotional color and emotional vocabulary through factor analysis are matched to one space in order to classify emotional information of image. And a standardized image recommendation system based on the matching of each keyword with the BM-GA algorithm for the data of the emotional information of speech and emotional information of image according to the more appropriate emotional information of speech of the user. As a result of the performance evaluation, recognition rate of standardized vocabulary in four stages according to speech was 80.48% on average and system user satisfaction was 82.4%. Therefore, it is expected that the classification of images according to the user's speech information will be helpful for the study of emotional exchange between the user and the computer.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3559-3568
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• 1999

The information overload with many information resources is an inevitable problem in modern electronic life. It is more difficult to search some information with user's information needs from an uncontrolled flood of many digital information resources, such as the internet which has been rapidly increased. So, many information retrieval systems have been researched and appeared. In text retrieval systems, they have met with user's information needs. While, in image retrieval systems, they have not properly dealt with user's information needs. In this paper, for resolving this problem, we proposed the intelligent user interface for image retrieval. It is based on HCOS(Human-Computer Symmetry) model which is a layed interaction model between a human and computer. Its' methodology is employed to reduce user's information overhead and semantic gap between user and systems. It is implemented with machine learning algorithms, decision tree and backpropagation neural network, for user adaptation capabilities of intelligent image retrieval system(IIRS).

• The Journal of Information Systems
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• v.9 no.1
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• pp.45-59
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• 2000

This study empirically tests that user satisfactions are influenced by factors focusing on information systems. The findings are as follows； 1. User Participation on information systems influence significantly system reliability, system usage and work environment. 2. Only top management's support on information system influences significantly efficient system usage. 3. Ability of user computing on information system influences significantly system usage.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.2
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• pp.265-284
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• 2002

The purposes of this study are research for user's perspective and satisfaction, and analyze degree of difference in user's perspective and satisfaction through electronic library system of National Assembly Library. According to analysis of questionnaire, score of the factors that quantity of information, latest of information, quality of information, system of classification, accuracy of information are higher than average in user's perspective. Also score of the factors that speed of response, quality of information, consistency of information, consistency of retrieval, quantity of information, accuracy of information are higher than average in user's satisfaction. Result of analysis show that latest of information, quantity of information, variety of information, system of classification, accuracy of information are higher gap in user's perspective and satisfaction.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.13-20
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• 2009

The most of navigation services these days, are designed in order to just provide a shortest path from current position to destination for a user. Several navigation services provides not only the path but some fragmentary information about its point, but, the data tends to be highly restricted because it's quality and quantity totally depends on service provider's providing policy. In this paper, we describe the folksonomy POI(Point of interest) recommender system using mashup in order to provide the information that is more useful to the user. The POI recommender system mashes-up the user's folksonomy data that stacked by user with using external folksonomy service(like Flickr) with others' in order to provide more useful information for the user. POI recommender system recommends others' tag data that is evaluated with the user folksonomy similarity. Using folksonomy mahup makes the services can provide more information that is applied the users' karma. By this, we show how to deal with the data's restrictions of quality and quantity.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.57-67
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• 2017

In this paper, Atanassov's intuitionistic fuzzy set theory is used to handle the uncertainty of students' knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov's intuitionistic fuzzy user model is proposed to deal with vagueness in the user's knowledge description in domain concepts. The user model uses Atanassov's intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students' knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.