Title :
A P2P E-Commerce Model Based on Interest Community
Author :
Hai, Mo ; Tu, Yan
Author_Institution :
Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
Abstract :
The challenging problem is how to store and search data efficiently when applying P2P technology in e-commerce. In order to solve this problem, we propose a P2P e-commerce model based on interest community, which manages each user´s data by use of interest community. Users with similar interests form an interest community. Interest communities will reorganize as any user´s interest has changed. Simulation results show this model has higher search efficiency and lower search cost compared with traditional keyword search algorithm.
Keywords :
electronic commerce; peer-to-peer computing; P2P e-commerce model; P2P technology; interest community; keyword search algorithm; search cost; search efficiency; Biological system modeling; Communities; Computational modeling; Keyword search; Peer to peer computing; Servers; Simulation; P2P; e-commerce; interest community; search cost; search efficiency;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8507-9
DOI :
10.1109/ICMeCG.2010.80
