P2PDocTagger: Content management through automated P2P collaborative tagging

Summary: P2PDocTagger automates collaborative document tagging via distributed classification across P2P networks, avoiding centralized scalability and privacy issues while reducing peer computation/communication costs. It also introduces P2PDMT, a flexible simulator for evaluating P2P data-mining algorithms. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 10198
Venue: VLDB
Year: 2010
Pagerank: -
Overall Rank: 13,716 | 5.90%
DOI: 10.14778/1920841.1921049

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Authors

1. Hock Hee Ang (Nanyang Technological University)
2. Vivekanand Gopalkrishnan (Nanyang Technological University)
3. Wee Keong Ng (Nanyang Technological University)
4. Steven C.H. Hoi (Nanyang Technological University)

BibTeX Citation

@article{ang_vldb10,
        title = {{P2PDocTagger: Content management through automated P2P collaborative tagging}},
        author = {Ang, Hock Hee and Gopalkrishnan, Vivekanand and Ng, Wee Keong and Hoi, Steven C.H.},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {2},
        doi = {10.14778/1920841.1921049},
        url = {https://doi.org/10.14778/1920841.1921049},
        year = {2010}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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