Syntactic Clustering of the Web

A. Broder, S. Glassman, M. Manasse, and G. Zweig

Abstract

We have developed an efficient way to determine the syntactic similarity of files and havefl applied it to every document on the World Wide Web. Using this mechanism, we built afl clustering of all the documents that are syntactically similar. Possible applications include afl "Lost and Found" service, filtering the results of Web searches, updating widely distributedfl web-pages, and identifying violations of intellectual property rights.

Details

Publication typeInproceedings
Published inProceedings of WWW6 and Computer Networks 29 (8-13) and Digital/HP Technical Report SRC-TN-1997-015 1997. Best Paper Award at WWW6
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