HTML 문서의 시각적 분석을 이용한 사용자 프로파일 생성 = User Profile Generation using Visual Differences of HTML Document

다국어 초록 (Multilingual Abstract)

In this study, I``ve suggested how to improve the function of web-agents to find out the web-document users prefer. Web-agents employ TFIDF, which considers all the worked used in a document as equal in improtance to find out users`` preferences. Web-documents like HTML, however, make visual differences by using different sizes of letters and highlighting them based on importance of words. In this study, I``ve attempted to improve the functions of the web-agents by differentiating the weight of each worked in accordance with the visual importance of each paragraph. To enhance functions, I``ve suggested how to make a profile from each paragraph to be consolidated later. As to suggested algorithms, I``ve tested their effects by comparing the established TFIDF algorithm with the function which helps users find documents they prefer.