Hybrid peer-to-peer architectures use special nodes to provide directory services for regions of the network (“regional directory services”). They are a potentially powerful model for developing large-scale networks of complex digital libraries. This paper presents our recent research work on the new content-based text filtering and collaborative filtering based on hybrid P2P (Peer-to-Peer) networks. From various perspectives, our work focuses on how to share the text content and recommend information based on hybrid P2P networks. Several models are proposed toimplementthe content-based text retrieval and collaborative filtering effectively. These models are then evaluated and validated through implementations and analyses. The results show some advantages of the proposed approach for the content-based filtering algorithm based on lexical chain and collaborative filtering algorithm in hybrid P2P network and potential applications in complex digital libraries and distributed information sharing.
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