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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Karypis, G.: Evaluation of item-based top-n recommendation algorithms. In: Proc. of the tenth international conference on Information and knowledge management, pp. 247–254 (2001)
Tveit, A.: Peer-to-peer based recommendation for mobile commerce. In: Proc. of the First International Mobile Commerce Workshop, pp. 26–29 (2001)
Stoica, I., Morris, R., Karger, D., Kaashoek, F., Balakrishnan, H.: Chord: A Scalable Peer-to-Peer Lookup Service for Internet Applications. In: Proc. ACM SIGCOMM Conf., pp. 149–160 (September 2001)
Linden, G., Smith, B., York, J.: Amazon com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 76–80 (2003)
Balakrishnan, H., FransKaashoek, M., Karger, D., Morris, R., Stoica, I.: Looking up data in P2P systems. Communications of ACM 46(2), 43–48 (2003)
Peng, H., Bo, X., Fan, Y., Ruimin, S.: A scalable p2p recommender system based on distributed collaborative filtering. Expert systems with applications, 203–210 (2004)
Xue, G., Lin, C., Yang, Q., Xi, W., Zeng, H., Yu, Y., Chen, Z.: Scalable collaborative filtering using cluster-based smoothing. In: Proc. of the 28th Annual Int’l ACM SIGIR Conf., pp. 114–121 (2005)
Shakery, A., Zhai, C.: A probabilistic relevance propagation model for hypertext retrieval. In: Proc. of the 15th ACM International Conference on Information and Knowledge Management (CIKM 2006), pp. 550–558 (2006)
Wang, J., Pouwelse, J., Lagendijk, R., Reinders, M.R.J.: Distributed Collaborative Filtering for Peer-to-Peer File Sharing Systems. In: Proc. of the 21st Annual ACM Symposium on Applied Computing (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, J., Peng, J., Cao, X. (2009). A Distributed Collaborative Filtering Recommendation Model for P2P Networks. In: Bertino, E., Joshi, J.B.D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03354-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-03354-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03353-7
Online ISBN: 978-3-642-03354-4
eBook Packages: Computer ScienceComputer Science (R0)