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With increment of personal data amount, how to efficiently manage Personal DataSpace (PDS) becomes a serious problem and a hot research topic. In PDS, users often expect to relocate some known items. Therefore how to efficiently identify these known items from a great number of objects becomes an important research issue. To the best of the authors' knowledge, there is no existing works tackling this problem. In this paper, they propose a concept KnownBy to model the basic relationship between data items and users, and take it as the baseline for deciding if an item belongs to PDS. By analyzing user access logs, they mine some rules for identifying known items, and propose efficient methods for marking known items from personal desktop resources.
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