document: Tag-oriented document summarization 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 .
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