Abstract
We present ISeller, an industrial-strength recommendation system for a diverse range of commercial application domains. The system supports several recommendation paradigms such as collaborative, content-based and knowledge-based filtering, as well as one-shot and conversational interaction modes out of the box. A generic user modeling component allows different forms of hybrid personalization and enables the system to support process-oriented interactive selling in various product domains. This paper contributes a detailed discussion of a domain independent and flexible recommendation system from a software architecture viewpoint and illustrates it with different usage scenarios.
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.
Similar content being viewed by others
References
Adomavicius, G., Tuzhilin, A.: Towards the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6) (2005)
Adomavicius, G., Tuzhilin, A.: Multidimensional recommender systems: A data warehousing approach. In: Fiege, L., Mühl, G., Wilhelm, U.G. (eds.) WELCOM 2001. LNCS, vol. 2232, pp. 180–192. Springer, Heidelberg (2001)
Berkovsky, S., Kuflik, T., Ricci, F.: Mediation of user models for enhanced personalization in recommender systems. User Modeling and User-Adapted Interaction 18(3), 245–286 (2008)
Goy, A., Ardissono, L., Petrone, G.: Personalization in e-commerce applications. In: The Adaptive Web. LNCS, vol. 4321, pp. 485–520. Springer, Heidelberg (2007)
Fink, J., Kobsa, A.: A review and analysis of commercial user modeling servers for personalization on the world wide web. User Modeling and User-Adapted Interaction 10(2-3), 209–249 (2000)
Burke, R.: Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002)
Resnick, P., Iacovou, N., Suchak, N., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Computer Supported Collaborative Work (CSCW). Chapel Hill, NC (1994)
Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 230–237. ACM, New York (1999)
Shardanand, U., Maes, P.: Social information filtering: Algorithms for automating word of mouth. In: Conference on Human Factors in Computing Systems (CHI), pp. 210–217 (1995)
Ricci, F., Werthner, H.: Case base querying for travel planning recommendation. Information Technology and Tourism 3, 215–266 (2002)
Cotter, P., Smyth, B.: Ptv: Intelligent personalized tv guides. In: 12th Innovative Applications of Artificial Intelligence (IAAI). AAAI Press, Menlo Park (2000)
Felfernig, A., Friedrich, G., Jannach, D., Zanker, M.: An integrated environment for the development of knowledge-based recommender applications. International Journal of Electronic Commerce 11(2), 11–34 (2007)
Burke, R.: Knowledge-based recommender systems. Encyclopedia of Library and Information Systems 69(2) (2000)
Huhns, M.N., Singh, M.P.: Service-oriented computing: Key concepts and principles. IEEE Internet Computing 9(1), 75–81 (2005)
Papazoglou, M.P.: Service-oriented computing: Concepts, characteristics and directions. In: Proceedings of the 4th International Conference on Web Information Systems Engineering (WISE), pp. 3–12 (2003)
Stal, M.: Using architectural patterns and blueprints for service-oriented architecture. IEEE Software 23(2), 54–61 (2006)
Kiczales, G., Lamping, J., Menhdhekar, A., Maeda, C., Lopes, C., Loingtier, J.M., Irwin, J.: Aspect-oriented programming. In: Akşit, M., Matsuoka, S. (eds.) ECOOP 1997. LNCS, vol. 1241, pp. 220–242. Springer, Heidelberg (1997)
Kobsa, A.: Generic user modeling systems. User Modeling and User-Adapted Interaction 11(1-2), 49–63 (2001)
Middleton, S.E., Shadbolt, N.R., Roure, D.C.D.: Ontological user profiling in recommender systems. ACM Trans. Inf. Syst. 22(1), 54–88 (2004)
Jessenitschnig, M., Zanker, M.: A generic user modeling component for hybrid recommendation strategies. In: 11th IEEE Conference on Commerce and Enterprise Computing (CEC), Vienna, Austria. IEEE Press, Los Alamitos (2009)
Zanker, M., Jessenitschnig, M., Jannach, D., Gordea, S.: Comparing recommendation strategies in a commercial context. IEEE Intelligent Systems 22(3), 69–73 (2007)
Markus, Z., Markus, J.: Case-studies on exploiting explicit customer requirements in recommender systems. User Modeling and User-Adapted Interaction 19(1-2), 133–166 (2009)
Zanker, M.: A Collaborative Constraint-Based Meta-Level Recommender. In: 2nd ACM International Conference on Recommender Systems (ACM RecSys), Lausanne, Switzerland, pp. 139–146. ACM Press, New York (2008)
Zanker, M., Jessenitschnig, M.: Collaborative feature-combination recommender exploiting explicit and implicit user feedback. In: 11th IEEE Conference on Commerce and Enterprise Computing (CEC), Vienna, Austria. IEEE Computer Society Press, Los Alamitos (2009)
Zipf, A.: User-adaptive maps for location-based services (lbs) for tourism. In: Information and Communication Technologies in Tourism (ENTER 2002). Springer, Heidelberg (2002)
Zanker, M., Fuchs, M., Seebacher, A., Jessenitschnig, M., Stromberger, M.: An Automated Approach for Deriving Semantic Annotations of Tourism Products based on Geospatial Information. In: Proceedings of the Conference on Information and Communication Technologies in Tourism (ENTER), pp. 211–221 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jessenitschnig, M., Zanker, M. (2009). ISeller: A Flexible Personalization Infrastructure for e-Commerce Applications. In: Di Noia, T., Buccafurri, F. (eds) E-Commerce and Web Technologies. EC-Web 2009. Lecture Notes in Computer Science, vol 5692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03964-5_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-03964-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03963-8
Online ISBN: 978-3-642-03964-5
eBook Packages: Computer ScienceComputer Science (R0)