Research on Technology of Semantic P2P Network for Collaborative Filtering Recommendation of E-commerce
面向电子商务协同过滤推荐的语义P2P网络技术研究

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.