Skip to Main content Skip to Navigation
Conference papers

A Comparison of Techniques for Sampling Web Pages

Abstract : As the World Wide Web is growing rapidly, it is getting increasingly challenging to gather representative information about it. Instead of crawling the web exhaustively one has to resort to other techniques like sampling to determine the properties of the web. A uniform random sample of the web would be useful to determine the percentage of web pages in a specific language, on a topic or in a top level domain. Unfortunately, no approach has been shown to sample the web pages in an unbiased way. Three promising web sampling algorithms are based on random walks. They each have been evaluated individually, but making a comparison on different data sets is not possible. We directly compare these algorithms in this paper. We performed three random walks on the web under the same conditions and analyzed their outcomes in detail. We discuss the strengths and the weaknesses of each algorithm and propose improvements based on experimental results.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Monday, February 9, 2009 - 10:41:14 AM
Last modification on : Tuesday, November 28, 2017 - 4:50:01 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 10:05:04 PM


Files produced by the author(s)


  • HAL Id : inria-00359670, version 1
  • ARXIV : 0902.1604



Eda Baykan, Monika Henzinger, Stefan F. Keller, Sebastian de Castelberg, Markus Kinzler. A Comparison of Techniques for Sampling Web Pages. 26th International Symposium on Theoretical Aspects of Computer Science STACS 2009, Feb 2009, Freiburg, Germany. pp.13-30. ⟨inria-00359670⟩



Record views


Files downloads