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
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Wang
Can
Zhejiang University of Finance and Economics
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He
Xiaofei
Zhejiang University of Finance and Economics
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Bu
Jiajun
Zhejiang University of Finance and Economics
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Chen
Chun
Zhejiang University of Finance and Economics
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Shang
Shujie
Zhejiang University of Finance and Economics
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Qu
Mingcheng
Zhejiang University of Finance and Economics
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Lu
Gang
Zhejiang University of Finance and Economics
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