178 4 archive disk0/00/00/01/78 2009-04-06 19:14:08 2009-04-07 14:03:09 2009-04-06 19:14:08 conference_item show 0 Zhu Junyan Zhejiang University of Finance and Economics Wang Can Zhejiang University of Finance and Economics He Xiaofei Zhejiang University of Finance and Economics Bu Jiajun Zhejiang University of Finance and Economics Chen Chun Zhejiang University of Finance and Economics Shang Shujie Zhejiang University of Finance and Economics Qu Mingcheng Zhejiang University of Finance and Economics Lu Gang Zhejiang University of Finance and Economics Poster Session Tag-Oriented Document Summarization pub public poster Social annotations on a Web document are highly generalized description of topics contained in that page. Their tagged frequency indicates the user attentions with various degrees. This makes annotations a good resource for summarizing multiple topics in a Web page. In this paper, we present a tag-oriented Web document summarization approach by using both document content and the tags annotated on that document. To improve summarization performance, a new tag ranking algorithm named EigenTag is proposed in this paper to reduce noise in tags. Meanwhile, association mining technique is employed to expand tag set to tackle the sparsity problem. Experimental results show our tag-oriented summarization has a significant improvement over those not using tags. 2009-04 1195-1195 18th International World Wide Web Conference Madrid, Spain April 20th-24th, 2009 conference TRUE 178 4 178 1 application/pdf en public
p1195.pdf
published p1195.pdf 613526 http://www2009.eprints.org/178/1/p1195.pdf