User Profile Generation using Visual Differences of HTML Document 


Vol. 7,  No. 6, pp. 1827-1833, Jun.  2000
10.3745/KIPSTE.2000.7.6.1827


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  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.

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  Cite this article

[IEEE Style]

J. H. Kwak and C. H. Lee, "User Profile Generation using Visual Differences of HTML Document," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 6, pp. 1827-1833, 2000. DOI: 10.3745/KIPSTE.2000.7.6.1827.

[ACM Style]

Ju Hyun Kwak and Chang Hoon Lee. 2000. User Profile Generation using Visual Differences of HTML Document. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 6, (2000), 1827-1833. DOI: 10.3745/KIPSTE.2000.7.6.1827.