A user-oriented contents recommendation system in peer-to-peer architecture

Expert Systems with Applications

Volumn 34, Issue 1, 2008, Pages 300-312

  Kim, Jae Kyeong ^a   Kim, Hyea Kyeong ^a   Cho, Yoon Ho ^b  

^a Kyung Hee University   (South Korea)

^b Kookmin University   (South Korea)

Author keywords

Collaborative filtering; Recommendation system

Indexed keywords

DATA ACQUISITION; DISTRIBUTED COMPUTER SYSTEMS; MULTIMEDIA SYSTEMS; NEURAL NETWORKS; USER INTERFACES; WORLD WIDE WEB;

COLLABORATIVE FILTERING; INFORMATION OVERLOAD; INTERNET SURFERS; RECOMMENDATION SYSTEMS;

COMPUTER ARCHITECTURE;

EID: 34249106697     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.09.034     Document Type: Article

References (25)

1. Balabanovic M., and Shoham Y. Fab: content-based collaborative recommendation. Communication of the ACM 40 3 (1997) 66-72
2. Burke R. Hybrid recommender systems: survey and experiments. User Modeling and User-Adapted Interaction 12 (2002) 331-370
3. Canny, J. (2002). Collaborative filtering with privacy. In Proceedings of the IEEE symposium on research in security and privacy (pp. 45-57).
4. Cho Y.H., and Kim J.K. Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert Systems with Applications 26 (2002) 233-246
5. Damiani, E., di Vimercati, S.D.C., Paraboschi, S., Samarati, P., & Violante, F. (2002). A reputation-based approach for choosing reliable resources in peer-to-peer networks. In Proceedings of the 9th ACM conference on computer and communications security (pp. 17-21).
6. Foner, L. N. (1999). Political artifacts and personal privacy: The Yenta multi-agent distributed matchmaking system. Ph.D. Thesis, Massachusetts Institute of Technology.
7. Herlocker, J., Konstan, J., Borchers, A., & Riedl, J. (1999). An algorithmic framework for performing collaborative filtering. In Proceedings of the conference on research and development in information retrieval (pp. 230-237).
8. Kim C.Y., Lee J.K., Cho Y.H., and Kim D.H. VISCORS: a visual contents recommender system on the mobile web. IEEE Intelligent Systems, Special issue on Mining the Web for Actionable Knowledge 19 (2004) 32-39
9. Kim, D. H., & Chung, C. W. (2003). Qcluster: relevance feedback using adaptive clustering for content-based image retrieval. In Proceedings of the ACM SIGMOD international conference (pp. 599-610).
10. Kim, J. K., & Cho, Y. H. (2004). Recommendation systems for eCRM. College of Business Administration of KyungHee University, Working paper 04-02.
11. Kim J.K., Cho Y.H., Kim W.J., Kim J.R., and Suh J.H. A personlized recommendation procedure for internet shopping support. Electronic Commerce Research and Applications 1 (2002) 301-313
12. Montaner, M., L'opez, B., & de la Rosa, J. L. (2002). Opinion-based filtering through trust. In CIA2002 (pp. 164-178).
13. Miller B., Konstan J., and Riedl J. PocketLens: toward a personal recommender system. ACM Transactions on Information Systems (TOIS) 22 3 (2004) 437-476
14. Olsson, T. (2003). Bootstrapping and decentralizing recommender systems. Ph.D. Thesis, Dept. of Information Technology, Uppsala Univ.
15. Peng H., Bo X., Fan Y., and Ruimin S. A scalable P2P recommender system based on distributed collaborative filtering. Expert Systems with Applications 27 (2004) 203-210
16. Porkaew, K., Chakrabarti, K., & Mehrotra, S. (1999). Query refinement for multimedia similarity retrieval. In Proceedings of the 7th ACM multimedia conference (pp. 235-238).
17. Prete, C. D., McArthur, J. T., Villars, R. L., Nathan, R. I., & Reinsel, L. D. (2003). Industry developments and models. Disruptive Innovation in Enterprise Computing: storage. IDC.
18. Ramanathan, M. K., Kalogeraki, V., & Pruyne, J. (2001). Finding good peers in peer-to-peer networks. HP Labs, Technical Report HPL-2001-271.
19. Sarwar, B., Karypis, G., Konstan, J. A., & Riedl, J. (2000). Analysis of recommendation algorithms for e-commerce. In Proceedings of the ACM conference on electronic commerce (pp. 158-167).
20. Sarwar, B. M., Karypis, G., Konstan, J. A., & Riedl, J. T. (2001). Item based collaborative filtering recommendation algorithms. In Proceedings of the 10th international world wide web conference of ACM (pp. 285-295).
21. Schafer J.B., Konstan J.A., and Riedl J. E-commerce recommendation applications. Data Mining and Knowledge Discovery 5 1-2 (2001) 115-153
22. Tveit, A. (2001). Peer-to-peer based recommendations for mobile commerce. In Proceedings of the first international mobile commerce workshop, Rome (pp. 26-29).
23. Wu, L., Faloutsos, C., Sycara, K., & Payne, T. (2002). FALCON: feedback adaptive loop for content-based retrieval. In Proceedings of the 26th VLDB conference (pp. 297-306).
24. Zhang, T., Ramakrishnan, R., & Livny, M. (1996). BIRCH: an efficient data clustering method for very large database. In Proceedings of the 1996 ACM SIGMOD international conference on mangement of data, Montreal, Canada (pp. 103-114).
25. Zhou X.S., and Huang T.S. Relevance feedback for image retrieval: a comprehensive review. ACM Multimedia Systems Journal 8 6 (2003) 536-544