Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/1568
Title: Incremental web ranking on P2P networks
Authors: Sangamuang S.
Natwichai J.
Boonma P.
Issue Date: 2011
Abstract: Web ranking is one of the most important components of web search services which becomes an important activity these days. In order to compute the web ranking, the web-link graph structure is to be processed to analyze the importance of the linkage. The time and space complexity for web ranking can be enormous as the number of web grows rapidly. Peer-to-peer (P2P) network computational models are an important approach to process such task efficiently. However, as mentioned that number of webs is increased continuously, a web ranking algorithm that considers the web-link graph as a static set of data may not be appropriated. When a snapshot of the web-link graph is being processed, the new change can occur. Thus, the ranking result can be inaccurate. In this paper, we proposed an efficient approach to incrementally compute web rankings on a P2P network. The proposed approach processes almost only the changed part of the web-link graph in the distributed manner, thus it performs the web ranking efficiently. Our experiment results show that the proposed approach can significantly reduce the computational cost as well as the communication cost. © 2011 IEEE.
URI: http://www.scopus.com/inward/record.url?eid=2-s2.0-79957544660&partnerID=40&md5=1bf39f6386a328104a68523e5d4570ba
http://cmuir.cmu.ac.th/handle/6653943832/1568
ISBN: 9.78161E+12
Appears in Collections:ENG: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.