Abstract
This paper presents a unifying framework to model case-based reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem solving methodology in a number of ways. The goal of the proposed framework is to illustrate both the common features of the various CBR-RSs as well as the points were these systems take different solutions. The proposed framework was derived by the analysis of some systems and techniques comprising nine different recommendation functionalities. The ultimate goal of the this framework is to ease the evaluation and the comparison of case-based reasoning recommender systems and to provide a tool to identify open areas for further research.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
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.
References
Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39–59 (1994)
Aha, D.W.: The omnipresence of case-based reasoning in science and application. Knowledge-Based Systems 11(5-6), 261–273 (1998)
Billsus, D., Pazzani, M.: A hybrid user model for news story classification. In: Proceedings of the Seventh International Conference on User Modeling, UM 1999, Banff, Canada (1999)
Bridge, D., Ferguson, A.: Diverse product recommendations using an expressive language for case retrieval. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 43–57. Springer, Heidelberg (2002)
Bridge, D., Ferguson, A.: An expressive query language for product recommender systems. Artificial Intelligence Review 18, 269–307 (2002)
Brigitte Bartsch-Sporl, M.L., Hbner, A.: Case-based reasoning - survey and future directions. In: Puppe, F. (ed.) XPS 1999. LNCS (LNAI), vol. 1570, pp. 67–89. Springer, Heidelberg (1999)
Burke, R.: Knowledge-based recommender systems. In: Daily, J.E., Kent, A., Lancour, H. (eds.) Encyclopedia of Library and Information Science, Marcel Dekker, vol. 69 (2000)
Burke, R.: Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002)
Coyle, L., Doyle, D., Cunningham, P.: Representing similarity for cbr in xml. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 119–127. Springer, Heidelberg (2004)
Coyle, L., Hayes, C., Cunningham, P.: Representing cases for cbr in xml. In: Proceedings of 7th UKCBR Workshop, Peterhouse, Cambridge (2002)
Fesenmaier, D.R., Ricci, F., Schaumlechner, E., Wöber, K., Zanella, C.: DIETORECS: Travel advisory for multiple decision styles. In: Frew, A.J., Hitz, M., O’Connors, P. (eds.) Information and Communication Technologies in Tourism 2003, pp. 232–241. Springer, Heidelberg (2003)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers, San Mateo (1993)
Manago, M., Bergmann, R., Conruyt, N., Traphoner, R., Pasley, J., Renard, J.L., Maurer, F., Wess, S., Althof, K.-D., Dumont, S.: CASUEL: A Common Case Representation Language. Esprit Project 6322, Deliverable D1
McGinty, L., Smyth, B.: Comparison-based recommendation. In: Craw, S., Preece, A. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 575–589. Springer, Heidelberg (2002)
McGinty, L., Smyth, B.: Deep dialogue vs casual conversation in recommender systems. In: Ricci, F., Smyth, B. (eds.), Recommendation and Personalization in eCommerce, Proceedings of the AH 2002 Workshop, Malaga, Spain, May 28, 2002. University of Malaga Press, pp. 80–89 (2002)
McGinty, L., Smyth, B.: On the role of diversity in conversational recommender systems. In: Aamodt, A., Bridge, D., Ashley, K. (eds.) ICCBR 2003, the 5th International Conference on Case-Based Reasoning, Trondheim, Norway, June 23-26, 2003, pp. 276–290 (2003)
McSherry, D.: Diversity-conscious retrieval. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 219–233. Springer, Heidelberg (2002)
McSherry, D.: Similarity and compromise. In: Aamodt, A., Bridge, D., Ashley, K. (eds.) ICCBR 2003, the 5th International Conference on Case-Based Reasoning, Trondheim, Norway, June 23-26, 2003, pp. 291–305 (2003)
Miller, B., Albert, I., Lam, S., Konstan, J., Riedl, J.: Movielens unplugged: Experiences with an occasionally connected recommender system. In: Proceedings of ACM 2003 International Conference on Intelligent User Interfaces (IUI 2003), ACM Press, New York (2003)
Mirzadeh, N., Ricci, F., Bansal, M.: Supporting user query relaxation in a recommender system. In: Bauknecht, K., Bichler, M., Pröll, B. (eds.) EC-Web 2004. LNCS, vol. 3182, pp. 31–40. Springer, Heidelberg (2004)
Mirzadeh, N., Ricci, F., Bansal, M.: Feature selection methods for conversational recommender systems. In: Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Services, Hong Kong, March 29 - April 1, 2005, IEEE Press, Los Alamitos (2005)
Montaner, M., López, B., de la Rosa, J.L.: Improving case representation and case base maintenance in recommender systems. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 234–248. Springer, Heidelberg (2002)
Mougouie, B., Richter, M.M., Bergmann, R.: Diversity-conscious retrieval from generalized cases: a branch and bound algorithm. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 319–331. Springer, Heidelberg (2003)
Ralph Bergmann, S.S., Stahl, A.: Intelligent customer support for product selection with case-based reasoning. In: Javier Segovia, P.S.S., Niedzwiedzinski, M. (eds.) E-Commerce and Intelligent Methods, pp. 322–341. Physica-Verlag (2002)
Resnick, P., Varian, H.R.: Recommender systems. Communications of the ACM 40(3), 56–58 (1997)
Ricci, F., Arslan, B., Mirzadeh, N., Venturini, A.: ITR: a case-based travel advisory system. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 613–627. Springer, Heidelberg (2002)
Ricci, F., Smyth, B. (eds.): Recommendation and Personalization in eCommerce. In: Proceedings of the AH 2002 Workshop, Malaga, Spain, Universidad de Malaga, May 28 (2002)
Ricci, F., Venturini, A., Cavada, D., Mirzadeh, N., Blaas, D., Nones, M.: Product recommendation with interactive query management and twofold similarity. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 479–493. Springer, Heidelberg (2003)
Ricci, F., Woeber, K., Zins, A.: Recommendations by collaborative browsing. In: Information and Communication Technologies in Tourism 2005, pp. 172–182. Springer, Wien, New York (2005)
Sarwar, Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of WWW10 Conference, Hong Kong, May 1-5, 2001, pp. 285–295. ACM, New York (2001)
Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Analysis of recommendation algorithms for e-commerce. In: ACM Conference on Electronic Commerce, pp. 158–167 (2000)
Schafer, J.B., Konstan, J.A., Riedl, J.: E-commerce recommendation applications. Data Mining and Knowledge Discovery 5(1/2), 115–153 (2001)
Shimazu, H.: ExpertClerk: Navigating shoppers buying process with the combination of asking and proposing. In: Nebel, B. (ed.) Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, Washington, USA, August 4-10, 2001, pp. 1443–1448. Morgan Kaufmann, San Francisco (2001)
Shimazu, H.: Expertclerk: A conversational case-based reasoning tool for developing salesclerk agents in e-commerce webshops. Artificial Intelligence Review 18, 223–244 (2002)
Smyth, B., McClave, P.: Similarity vs diversity. In: Proceedings of the 4th International Conference on Case-Based Reasoning, Springer, Heidelberg (2001)
Watson, I.: Applying Case-Based Reasoning: Techniques for Enterprise Systems. Morgan Kaufmann, San Francisco (1997)
Witten, I.H., Frank, E.: Data Mining. Morgan Kaufmann Publisher, San Francisco (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lorenzi, F., Ricci, F. (2005). Case-Based Recommender Systems: A Unifying View. In: Mobasher, B., Anand, S.S. (eds) Intelligent Techniques for Web Personalization. ITWP 2003. Lecture Notes in Computer Science(), vol 3169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11577935_5
Download citation
DOI: https://doi.org/10.1007/11577935_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29846-5
Online ISBN: 978-3-540-31655-8
eBook Packages: Computer ScienceComputer Science (R0)