DocumentCode
2985416
Title
Text Retrieval in Small World P2P Networks
Author
Shi, Qingwei ; Wang, Xinhai ; Xu, Guangquan
Author_Institution
Sch. of Software, Liaoning Tech. Univ., Huludao, China
fYear
2009
fDate
18-20 Jan. 2009
Firstpage
1
Lastpage
4
Abstract
For the flooding problem in Gnutella, a text retrieval method is proposed in unstructured P2P networks based on small world models. Each node in the P2P networks maintains several long-link neighbors and short-link neighbors to build a small world P2P networks. Neighbors update is processed during the query and response. And after each query, weights of the words in documents of neighbor nodes will be revised. This makes it easy to find out the networks topology and contents of other nodes. Experiment results show that the small world P2P networks outperform Gnutella-like networks in the recall rate and search efficiency.
Keywords
information retrieval; peer-to-peer computing; text analysis; word processing; Gnutella flooding problem; network topology; recall rate; search efficiency; small world P2P networks; text retrieval; Computer science; Explosions; IP networks; Indexing; Internet; Network topology; Peer to peer computing; Scalability; Social network services; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5272-9
Type
conf
DOI
10.1109/CNMT.2009.5374491
Filename
5374491
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