Web-page summarization using clickthrough data

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Web-page summarization using clickthrough data (2005)

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by Jian-tao Sun , Qiang Yang , Yuchang Lu

Venue:	In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ( SIGIR’05
Citations:	38 - 1 self

BibTeX

@INPROCEEDINGS{Sun05web-pagesummarization,
    author = {Jian-tao Sun and Qiang Yang and Yuchang Lu},
    title = {Web-page summarization using clickthrough data},
    booktitle = {In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ( SIGIR’05},
    year = {2005},
    pages = {194--201},
    publisher = {ACM Press}
}

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Abstract

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 to build a high-quality summary, because the Web contains many hidden relationships that are not used in these methods. Uncovering the inherent knowledge is important to 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-page summarization. We first analyze the feasibility to utilize clickthrough data in text summarization, and then propose two adapted summarization methods that take advantage of the relationships discovered from the clickthrough data. For those pages not covered by the clickthrough data, we put forward a thematic lexicon approach to generate implicit knowledge for them. Our methods are evaluated on a relatively small dataset consisting of manually annotated pages as well as a large dataset that is crawled from the Open Directory Project website. The experimental results indicate that significant improvements can be achieved through our proposed summarizer as compared with summarizers without using the clickthrough data. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous; I.5.4 [Pattern Recognition]: Applications—Text processing

Keyphrases

clickthrough data web-page summarization web page text summarization many hidden relationship subject descriptor information system application thematic lexicon approach extra knowledge small dataset consisting full knowledge significant improvement open directory project website plain text web search engine previous web-page summarization method good web-page summarizers high-quality summary adapted summarization method implicit knowledge pattern recognition large dataset experimental result inherent knowledge

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