Abstract
Collaborative filtering is a social information recommendation/ filtering method, and the peer-to-peer (P2P) computer network is a network on which information is distributed on the peer-to-peer basis (each peer node works as a server, a client, and even a router). This research aims to develop a model of P2P information recommendation system based on collaborative filtering and evaluate the ability of the system by computer simulations based on the model. We previously proposed a simple model, and the model in this paper is a modified one that is more focused on recommendation agents and user-agent interactions. We have developed a computer simulator program and tested simulations with several parameter settings. From the results of the simulations, recommendation recall and precision are evaluated. Findings are that the agents are likely to overly recommend so that the recall score becomes high but the precision score becomes low.
Chapter PDF
Similar content being viewed by others
References
Resnick, P., Varian, H.R.: Recommender Systems. Communications of the ACM 40(3), 56–58 (1997)
Riecken, D.: Introduction: Personalized Views of Personalization. Communications of the ACM 43(8), 26–28 (2000)
Konstan, J.A.: Introduction to Recommender Systems: Algorithms and Evaluation. ACM Transactions on Information Systems 22(1), 1–4 (2004)
Goldberg, D., Nichols, D., Oki, B.M., Terry, D.: Using Collaborative Filtering to Weave an Information Tapestry. Communications of the ACM 35(12), 61–70 (1992)
Oram, A. (ed.): Peer-to-peer: Harnessing the Benefits of a Disruptive Technology. O’Reilly and Associates (2001)
Lethin, R.: SPECIAL ISSUE: Technical and Social Components of Peer-to-peer Computing - Introduction. Communications of the ACM 46(2), 30–32 (2003)
Androutsellis-Theotokis, S., Spinellis, D.: A Survey of Peer-to-peer Content Distribution Technologies. ACM Computing Surveys 36m(4), 335–371 (2004)
Yanagihara, T., Iwai, M., Tokuda, H.: Designing and Implementing a Simulator for P2P Networks, Special Interest Groups on System Software and Operating System (in Japanese). Information Processing Society of Japan 2002(60), 157–162 (2002)
Okada, H.: Simulation Model of P2P Information Distribution based on Collaborative Filtering. In: Proc. 11th Int. Conf. on Human-Computer Interaction (HCI International 2005), CD-ROM (2005)
Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems 22(1), 5–53 (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Okada, H., Inoue, M. (2007). Evaluation of P2P Information Recommendation Based on Collaborative Filtering. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_48
Download citation
DOI: https://doi.org/10.1007/978-3-540-73110-8_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73108-5
Online ISBN: 978-3-540-73110-8
eBook Packages: Computer ScienceComputer Science (R0)