%0 Journal Article
%T Research on Technology of Semantic P2P Network for Collaborative Filtering Recommendation of E-commerce<br>面向电子商务协同过滤推荐的语义P2P网络技术研究
%A CHEN Dong-lin
%A NIE Gui-hua
%A LIU Ping-feng
%A <br>陈冬林
%A 聂规划
%A 刘平峰
%J 计算机应用研究
%D 2007
%I 
%X Analyzed similarities and differences among mainstream recommendation technology and system.The fundamental challenges for recommendation system based on Collaborative Filtering(CF) technology are the scalability and accuracy in real-time.Base on the theory of Semantic P2P Network(SPN) in information and knowledge integration,the key technology of SPN for CF,which included peer ontology representation,ontology matching model based domain ontology,the framework of semantic P2P self-formation of communities,P2P topology and algorithm for CF base semantic affinity.
%K semantic Web
%K peer-to-peer
%K collaborative filtering
%K ontology
%K e-commerce<br>语义Web
%K 对等网
%K 协同过滤
%K 本体
%K 电子商务
%K 电子商务
%K 协同过滤推荐算法
%K 语义相似度
%K 网络
%K 技术研究
%K Recommendation
%K Collaborative
%K Filtering
%K Network
%K Semantic
%K Technology
%K 更新策略
%K 动态知识
%K 修正
%K 反馈率
%K 搜索机制
%K 结构
%K 社区
%K 协作推荐
%K 机器学习算法
%K 映射方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F606E9D540DA56B9FD&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=F637763636425CAF&eid=A2745AA1110798CA&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=18