Web-Page Summarization Using Clickthrough Data

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Source: Association for Computing Machinery

Date: January 2008

Type: White Paper

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Overview: With the rapid growth of the WWW, there is an increasing need to succinctly summarize Web pages for the Web users. However, such methods fail to uncover the full knowledge associated with a Web page to build a high-quality summary, because the Web contains many hidden relationships that are not used in these methods. This paper extracts the extra knowledge from the clickthrough data of a Web search engine to improve Web-page summarization.

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