Efficient and Decentralized PageRank Approximation in a Peer-to-Peer Web Search Network

@inproceedings{Parreira2006EfficientAD,
  title={Efficient and Decentralized PageRank Approximation in a Peer-to-Peer Web Search Network},
  author={Josiane Xavier Parreira and Debora Donato and Sebastian Michel and Gerhard Weikum},
  booktitle={VLDB},
  year={2006}
}
PageRank-style (PR) link analyses are a cornerstone of Web search engines and Web mining, but they are computationally expensive. Recently, various techniques have been proposed for speeding up these analyses by distributing the link graph among multiple sites. However, none of these advanced methods is suitable for a fully decentralized PR computation in a peer-to-peer (P2P) network with autonomous peers, where each peer can independently crawl Web fragments according to the user's thematic… CONTINUE READING
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