Web PageRank Prediction With Markov Models.pdf

vazirgiannis2008web.pdf
Preview of Web PageRank prediction with Markov models
🔗 Source: hal.inria.fr
📊 Size: 187 KB
👤 Author: Michalis Vazirgiannis, Dimitris Drosos, Pierre Senellart, Akrivi Vlachou
⬇️ Downloads: 95

Summary

inria-00260431, a multi-disciplinary open access archive, contains a research document titled "Web Page Rank Prediction with Markov Models" by Michalis Vazirgiannis, Dimitris Drosos, Pierre Senellart, and Akrivi Vlachou. The paper proposes a method for predicting the ranking position of a Web page using Markov Models trained on sequences of rank change rates. The approach is evaluated on two real-world datasets, DBLP and Internet Archive, using similarity measures OSim and KSim, and shows highly accurate predictions for all experimental setups.

Description

inria-00260431, a multi-disciplinary open access archive, contains a research document titled "Web Page Rank Prediction with Markov Models" by Michalis...

Technical Information

  • File Format: PDF
  • File Size: 187 KB
  • Pages: 3
  • Language: EN
  • Author: Michalis Vazirgiannis, Dimitris Drosos, Pierre Senellart, Akrivi Vlachou
  • Total Downloads: 95
  • Last Updated: 7 days ago

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