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 [BibTeX] [Marc21]
Inferring Document Similarity from Hyperlinks
Type of publication: Conference paper
Citation: grangier:2005:cikm
Booktitle: ACM Conference on Information and Knowledge Management
Year: 2005
Month: 10
Address: Bremen, Germany
Crossref: grangier:2005:idiap-05-21:
Abstract: Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a similarity measure that can then be applied to compare any text documents, with or without hyperlinks. As linked documents are generally semantically closer than unlinked documents, we use a training corpus with hyperlinks to infer a function $a,b \to sim(a,b)$ that assigns a higher value to linked documents than to unlinked ones. Two sets of experiments on different corpora show that this function compares favorably with {\em OKAPI} matching on document retrieval tasks.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Grangier, David
Bengio, Samy
Added by: [UNK]
Total mark: 0
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