Achieving effective multi-term queries for fast DHT information retrieval

Xu, Quanqing, Shen, Heng Tao, Dai, Yafei, Cui, Bin and Zhou, Xiaofang (2008). Achieving effective multi-term queries for fast DHT information retrieval. In: James Bailey, David Maier, Klaus-Dieter Schewe, Bernhard Thalheim and Xiaoyang Sean Wang, Lecture Notes in Computer Science. Web Information Systems Engineering – WISE 2008, 9th International Conference. Web Information Systems Engineering - WISE 2008, Auckland, New Zealand, (20-35). 1-3 September, 2008.


Author Xu, Quanqing
Shen, Heng Tao
Dai, Yafei
Cui, Bin
Zhou, Xiaofang
Title of paper Achieving effective multi-term queries for fast DHT information retrieval
Conference name Web Information Systems Engineering - WISE 2008
Conference location Auckland, New Zealand
Conference dates 1-3 September, 2008
Proceedings title Lecture Notes in Computer Science. Web Information Systems Engineering – WISE 2008, 9th International Conference   Check publisher's open access policy
Journal name Web Information Systems Engineering - Wise 2008, Proceedings   Check publisher's open access policy
Place of Publication Berlin, Germany
Publisher Springer
Publication Year 2008
Sub-type Fully published paper
DOI 10.1007/978-3-540-85481-4
ISBN 978-3-540-85480-7
ISSN 0302-9743
Editor James Bailey
David Maier
Klaus-Dieter Schewe
Bernhard Thalheim
Xiaoyang Sean Wang
Volume 5175
Start page 20
End page 35
Total pages 16
Language eng
Formatted Abstract/Summary Distributed Hash Tables (DHTs) are well-suited for exact match lookups using unique identifiers, but do not directly support multi-term queries. Related research of query expansion has shown that adding new terms to a query via ad hoc feedback improves the retrieval effectiveness of such query. In the paper, we propose an effective multi-term query processing algorithm for information retrieval in DHT systems. Given the significance of first term in a multi-term query, the query is sent to the peers containing the first term. To enhance the query effectiveness, we design two query expansion mechanisms and an implicit relevance feedback approach based on users’ behaviors. Additionally, we record the query log and the expansion terms for each query which can accelerate the future queries and improve the query accuracy. Experimental results show that our query methods yield substantial improvements in retrieval effectiveness in the following three aspects: recall, precision at 10 standard recall levels and precision histograms.
Subjects 0806 Information Systems
Keyword System
Control theory
Data storage equipment
Dynamic programming
Feedback
Industrial engineering
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes 9th International Conference on Web Information Systems Engineering, WISE 2008; Auckland; 1 September 2008 through 3 September 2008; Code 73643

 
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Created: Tue, 16 Nov 2010, 15:09:27 EST by Dr Heng Tao Shen on behalf of School of Information Technol and Elec Engineering