A Distributed Collaborative Filtering Recommendation Model for P2P Networks

Jun Wang; Jian Peng; Xiaoyang Cao

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.

Keywords: collaborative filtering probabilistic relevance model distributed Chord

Published: 2012-05-11

: http://dx.doi.org/10.1007/978-3-642-03354-4_1