Title
SEIF: Search Enhanced by Intelligent Feedback in Unstructured P2P Networks
Abstract
To improve the performance of similarity search and information retrieval is an important research issue in peer-to-peer environment. In this paper, we propose a distributed architecture for enhancing the performance of similarity search in unstructured P2P networks. The key component of the proposed architecture is a distributed, content-based, heuristic feedback mechanism, which allows peers to keep track of recent queries and learn from the assessment of answers to previous queries, so as to self-adaptively route the subsequent query to the most relevant nodes which are responsible for the query. Therefore a high recall rate can be achieved by probing only a small amount of peers. We also propose a distributed automatic query expansion mechanism to improve the quality of query results. Since the architecture is entirely distributed, it scales well with the large sized networks. The experimental results show that our architecture can efficiently solve queries with a relatively small cost.
Year
DOI
Venue
2009
10.1109/ICPP.2009.25
ICPP
Keywords
Field
DocType
subsequent query,unstructured peer-to-peer systems,small cost,intelligent feedback,information retrieval,p2p networks,peer-to-peer network,proposed architecture,unstructured p2p networks,seif,small amount,automatic query expansion mechanism,heuristic feedback mechanism,distributed architecture,software architecture,previous query,similarity search,search enhanced by intelligent feedback,peer-to-peer computing,distributed automatic query expansion mechanism,query result,content-based feedback,recent query,query processing,adaptive routing,data mining,feedback mechanism,computer architecture,routing,internet,bandwidth
Web search query,Heuristic,Architecture,Query expansion,Computer science,Web query classification,Software architecture,Nearest neighbor search,Distributed computing,The Internet
Conference
ISSN
ISBN
Citations 
0190-3918 E-ISBN : 978-0-7695-3802-0
978-0-7695-3802-0
1
PageRank 
References 
Authors
0.35
16
2
Name
Order
Citations
PageRank
Xiaoyu Yang1555.21
Yiming Hu263944.91