Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers

Research Article

A Distributed Collaborative Filtering Recommendation Model for P2P Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-03354-4_1,
        author={Jun Wang and Jian Peng and Xiaoyang Cao},
        title={A Distributed Collaborative Filtering Recommendation Model for P2P Networks},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={5},
        keywords={collaborative filtering probabilistic relevance model distributed Chord},
        doi={10.1007/978-3-642-03354-4_1}
    }
    
  • Jun Wang
    Jian Peng
    Xiaoyang Cao
    Year: 2012
    A Distributed Collaborative Filtering Recommendation Model for P2P Networks
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-642-03354-4_1
Jun Wang1, Jian Peng, Xiaoyang Cao2
  • 1: Sichuan University
  • 2: Chengdu University of Information Technology

Abstract

Conventional collaborative filtering(CF) recommendation applies the user-based centralized architecture. This architecture has some problems of sparsity and scalability, in addition to not fit the current popular P2P architecture. Therefore, this paper proposes a distributed model to implement the CF algorithm by maintaining the user’s record information distributedly in each nodes throughout the network, constructing a DHT, applying the Chord algorithm to realize locating of the record and designing the corresponding communication policy to obtain data needed.