摘要
在综合分析相关领域语义P2P网络的研究成果基础上,探讨了面向电子商务过滤推荐的语义P2P网络关键技术,包括基于本体的知识表示、知识协同和协作过滤的Peer节点模型;基于语义的领域本体映射方法和机器学习算法;语义P2P协作推荐社区结构、搜索机制和推荐反馈率修正的社区动态知识更新策略;基于语义相似度的协同过滤推荐算法。
Analyzed similarities and differences among mainslream 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.
出处
《计算机应用研究》
CSCD
北大核心
2007年第6期309-311,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(70572079)
湖北省自然科学基金资助项目(2006ABA303)
关键词
语义Web:对等网
协同过滤
本体
电子商务
semantic Web
peer-to-peer
collaborative filtering
ontology
e-commerce