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
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.
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