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2005
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An Evaluation and Comparison of Current Peer-to-Peer Full-Text Keyword Search Techniques

12 years 3 months ago
An Evaluation and Comparison of Current Peer-to-Peer Full-Text Keyword Search Techniques
Current peer-to-peer (p2p) full-text keyword search techniques fall into the following categories: document-based partitioning, keyword-based partitioning, hybrid indexing, and semantic search. This paper provides a performance evaluation and comparison of these p2p full-text keyword search techniques on a dataset with 3.7 million web pages and 6.8 million search queries. Our evaluation results can serve as a guide for choosing the most suitable p2p full-text keyword search technique based on given system parameters, such as network size, the number of documents, and the number of queries per second.
Ming Zhong, Justin Moore, Kai Shen, Amy L. Murphy
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where WEBDB
Authors Ming Zhong, Justin Moore, Kai Shen, Amy L. Murphy
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