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Most previous Web-page summarization methods treat a Web page as plain text. However, such methods fail to uncover the full knowledge associated with a Web page needed in building a high-quality summary, because many of these methods do not consider the hidden relationships in the Web. Uncovering the hidden knowledge is important in building good Web-page summarizers. In this paper, we extract the extra knowledge from the clickthrough data of a Web search engine to improve Web-pagedoi:10.1145/1076034.1076070 dblp:conf/sigir/SunSZYLC05 fatcat:3cgftw43nvchxie7j2s2dhlrse