This paper introduces a text narrowing system called TextExtractor. TextExtractor extracts characteristic operations, which may occur according to the user's interest while the user is browsing a page from DOM (Document Object Model) events. It also extracts the text parts, which are the targets of the extracted operations from the whole text of the page. Users do not have the burden to explicitly input their interest keywords or rate pages they have browsed, because TextExtractor uses the operations which occur during the users' ordinary Web browsing. The hope is that using the extracted text will improve the performance of an information retrieval system, because TextExtractor eliminates many noise keywords.
By: Yoshinori Hijikata, Yoshinori Aoki, Younosuke Furui, Amane Nakajima
Published in: RT0378 in 2002
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