P2PDocTagger

P2PDocTagger
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P2P文档标记器

DOI:
10.14778/1920841.1921049
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发表时间:
2010
影响因子:
2.5
通讯作者:
S. Hoi
S. Hoi
中科院分区:
计算机科学2区
文献类型:
--
作者:
Hock Hee Ang;Vivekanand Gopalkrishnan;W. Ng;S. Hoi

文献摘要

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As the amount of user generated content grows, personal information management has become a challenging problem. Several information management approaches, such as desktop search, document organization and (collaborative) document tagging have been proposed to address this, however they are either inappropriate or inefficient. Automated collaborative document tagging approaches mitigate the problems of manual tagging, but they are usually based on centralized settings which are plagued by problems such as scalability, privacy, etc. To resolve these issues, we present P2PDocTagger, an automated and distributed document tagging system based on classification in P2P networks. P2P-DocTagger minimizes the efforts of individual peers and reduces computation and communication cost while providing high tagging accuracy, and eases of document organization/retrieval. In addition, we provide a realistic and flexible simulation toolkit -- P2PDMT, to facilitate the development and testing of P2P data mining algorithms.