Abstract | ||
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Duplicate webpages can affect the user experience of search engine. This paper proposed webpage deletion algorithm based on hierarchical filtering according to the features of duplicate webpage. The webpage feature extraction is divided into three layers, which are paragraphs, sentences and words. The webpage features are formed by layer filtering redundant information. In the sentence layer paragraph sentences are extracted according to the sentence semantics, while in the word layer the sentences are denoised filtering based on statistics of the part of speech in them. This algorithm improves the noise immunity and the original coverage of the feature extraction. The experiments show that the proposed method can accurately filter out duplicate webpage. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-33469-6_68 | WISM |
Keywords | Field | DocType |
feature extraction,sentence semantics,webpage feature,sentence layer paragraph sentence,webpage deletion algorithm,webpage feature extraction,duplicate webpage,duplicate webpages,word layer | Search engine,Web page,Information retrieval,Computer science,Algorithm,Filter (signal processing),Feature extraction,Part of speech,Paragraph,Sentence,Semantics | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xunxun Chen | 1 | 5 | 5.49 |
Wei Wang | 2 | 4 | 2.78 |
Dapeng Man | 3 | 29 | 10.54 |
Sichang Xuan | 4 | 0 | 0.34 |