지능형 화상 검색 시스템에서의 사용자 모델을 이용한 사용자 적응 = User Adaptation Using User Model in Intelligent Image Retrieval System

다국어 초록 (Multilingual Abstract)

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 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 learning algorithms, between tree and backpropagation neural network, for user adaptation capabilities of intelligent image retrieval system(IIRS).