A Multi-tiered Recommender System Architecture for Supporting E-Commerce

  • Luigi PalopoliEmail author
  • Domenico Rosaci
  • Giuseppe M. L. Sarné
Part of the Studies in Computational Intelligence book series (SCI, volume 446)


Nowadays, many e-Commerce tools support customers with automatic recommendations. Many of them are centralized and lack in efficiency and scalability, while other ones are distributed and require a computational overhead excessive for many devices. Moreover, all the past proposals are not “open” and do not allow new personalized terms to be introduced into the domain ontology. In this paper, we present a distributed recommender, based on a multi-tiered agent system, trying to face the issues outlined above. The proposed system is able to generate very effective suggestions without a too onerous computational task. We show that our system introduces significant advantages in terms of openess, privacy and security.


Recommender System Collaborative Filter Auction Site Seller Agent Broker Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Amazon (2011),
  2. 2.
    Awerbuch, B., Patt-Shamir, B., Peleg, D., Tuttle, M.R.: Improved Recommendation Systems. In: Proc. of 16th ACM-SIAM Symp. on Discrete Algorithms, pp. 1174–1183. SIAM (2005)Google Scholar
  3. 3.
    Bohte, S.M., Gerding, E., La Poutré, J.A.: Market-based Recommendation: Agents that Compete for Consumer Attention. ACM Trans. Internet Techn. 4(4), 420–448 (2004)CrossRefGoogle Scholar
  4. 4.
    Culver, B.: Recommender System for Auction Sites. J. Comput. Small Coll. 19(4), 355–355 (2004)Google Scholar
  5. 5.
    eBay (2011),
  6. 6.
    Guttman, R.H., Moukas, A., Maes, P.: Agents as Mediators in Electronic Commerce. Electronic Markets 8(1), 22–27 (1998)CrossRefGoogle Scholar
  7. 7.
    Lorenzi, F., Correa, F.A.C., Bazzan, A.L.C., Abel, M., Ricci, F.: A Multiagent Recommender System with Task-Based Agent Specialization. In: Ketter, W., La Poutré, H., Sadeh, N., Shehory, O., Walsh, W. (eds.) AMEC 2008. LNBIP, vol. 44, pp. 103–116. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  8. 8.
    Olson, T.: Bootstrapping and Decentralizing Recommender Systems. Ph.D. Thesis, Dept. of Information Technology. Uppsala Univ. (2003)Google Scholar
  9. 9.
    Parikh, N., Sundaresan, N.: Buzz-based Recommender System. In: Proc. of 18th Int. Conf. on World Wide Web (WWW 2009), pp. 1231–1232. ACM (2009)Google Scholar
  10. 10.
    Rosaci, D., Sarné, G.M.L., Garruzzo, S.: MUADDIB: A Distributed Recommender System Supporting Device Adaptivity. ACM Trans. Inf. Syst. 27(4) (2009)Google Scholar
  11. 11.
    Schafer, J.B., Konstan, J.A., Riedl, J.: E-Commerce Recommendation Applications. Data Min. Knowl. Discov. 5(1-2), 115–153 (2001)zbMATHCrossRefGoogle Scholar
  12. 12.
    Schifanella, R., Panisson, A., Gena, C., Ruffo, G.: MobHinter: Epidemic Collaborative Filtering and Self-Organization in Mobile Ad-Hoc Networks. In: Proc. of ACM Conf. on Recommender Systems (RecSys 2008), pp. 27–34. ACM (2008)Google Scholar
  13. 13.
    Stoica, I., Morris, R., Karger, D.R., Kaashoek, M.F., Balakrishnan, H.: Chord: A Scalable Peer-to-Peer Lookup Service for Internet Applications. In: Proc. of SIGCOMM 2001, pp. 149–160 (2001)Google Scholar
  14. 14.
    Wei, K., Huang, J., Fu, S.: A Survey of E-Commerce Recommender Systems. In: Proc. of 13th Int. Conf. on Service Systems and Service Management, pp. 1–5. IEEE (2007)Google Scholar
  15. 15.
    Weng, L.-T., Xu, Y., Li, Y., Nayak, R.: A Fair Peer Selection Algorithm for an e-Commerce-Oriented Distributed Recommender System. In: Proc. of 2006 Conf. on Adv. in Intell. IT, pp. 31–37. IOS (2006)Google Scholar
  16. 16.
    Wooldridge, M., Jennings, N.R.: Agent Theories, Architectures, and Languages: A Survey. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS, vol. 890, pp. 1–39. Springer, Heidelberg (1995)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Luigi Palopoli
    • 1
    Email author
  • Domenico Rosaci
    • 2
  • Giuseppe M. L. Sarné
    • 2
  1. 1.Università della CalabriaRendeItaly
  2. 2.Università MediterraneaReggio CalabriaItaly

Personalised recommendations