Abstract
Conversational recommender systems guide users through a product space, alternatively making concrete product suggestions and eliciting the user’s feedback. Critiquing is a common form of user feedback, where users provide limited feedback at the feature-level by constraining a feature’s value-space. For example, a user may request a cheaper product, thus critiquing the price feature. Usually, when critiquing is used in conversational recommender systems, there is little or no attempt to monitor successive critiques within a given recommendation session. In our experience this can lead to inefficiencies, on the part of the recommender system, and confusion on the part of the user. In this paper we describe an approach to critiquing that attempts to consider a user’s critiquing history, as well as their current critique, when making new recommendations. We provide experimental evidence to show that this has the potential to significantly improve recommendation efficiency.
This material is based on works supported by Science Foundation Ireland under Grant No. 03/IN.3/I361
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.
References
D.W. Aha, L.A. Breslow, and H. Muoz-Avila. Conversational case-based reasoning. Applied Intelligence, 14:9–32, 2000.
R. Burke, K. Hammond, and B. Young. Knowledge-based navigation of complex information spaces. In Proceedings of the 13th National Conference on Artificial Intelligence, pages 462–468. AAAI Press/MIT Press, 1996. Portland, OR.
R. Burke, K. Hammond, and B.C. Young. The FindMe Approach to Assisted Browsing. Journal of IEEE Expert, 12(4):32–40, 1997.
M. Doyle and P. Cunningham. A Dynamic Approach to Reducing Dialog in On-Line Decision Guides. In E. Blanzieri and L. Portinale, editors, Proceedings of the 5th European Workshop on Case-Based Reasoning, (EWCBR-00), pages 49–60. Springer, 2000. Trento, Italy.
K. McCarthy, J. Reilly, L. McGinty, and B. Smyth. Thinking Positively-Explanatory Feedback for Conversational Recommender Systems. In Proceedings of the European Conference on Case-Based Reasoning (ECCBR-04) Explanation Workshop, 2004. Madrid, Spain.
L. McGinty and B. Smyth. Comparison-Based Recommendation. In Susan Craw, editor, Proceedings of the 6th European Conference on Case-Based Reasoning (ECCBR-02), pages 575–589. Springer, 2002. Aberdeen, Scotland.
L. McGinty and B. Smyth. The Role of Diversity in Conversational Recommender Systems. In D. Bridge and K. Ashley, editors, Proceedings of the 5th International Conference on Case-Based Reasoning (ICCBR-03), pages 276–290. Springer, 2003. Troindheim, Norway.
L. McGinty and B. Smyth. Tweaking Critiquing. In Proceedings of the Workshop on Personalization and Web Techniques at the International Joint Conference on Artificial Intelligence (IJCAI-03), pages 20–27. Morgan-Kaufmann, 2003. Acapulco, Mexico.
D. McSherry. Minimizing dialog length in interactive case-based reasoning. In Bernhard Nebel, editor, Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI-01), pages 993–998. Morgan Kaufmann, 2001. Seattle, Washington.
D. McSherry. Diversity-Conscious Retrieval. In Susan Craw, editor, Proceedings of the 6th European Conference on Case-Based Reasoning (ECCBR-02), pages 219–233. Springer, 2002. Aberdeen, Scotland.
D. McSherry. Similarity and Compromise. In D. Bridge and K. Ashley, editors, Proceedings of the 5th International Conference on Case-Based Reasoning (ICCBR-03), pages 291–305. Springer-Verlag, 2003. Trondheim, Norway.
J. Reilly, K. McCarthy, L. McGinty, and B. Smyth. Dynamic Critiquing. In P.A. Gonzalez Calero and P. Funk, editors, Proceedings of the European Conference on Case-Based Reasoning (ECCBR-04). Springer, 2004. Madrid, Spain.
B. Smyth and P. Cotter. A Personalized TV Listings Service for the Digital TV Age. Journal of Knowledge-Based Systems, 13(2–3):53–59, 2000.
B. Smyth and L. McGinty. An Analysis of Feedback Strategies in Conversational Recommender Systems. In P. Cunningham, editor, Proceedings of the 14th National Conference on Artificial Intelligence and Cognitive Science (AICS-2003), pages 211–216, 2003. Dublin, Ireland.
B. Smyth and L. McGinty. The Power of Suggestion. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-03), pages 127–138. Morgan-Kaufmann, 2003. Acapulco, Mexico.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag London Limited
About this paper
Cite this paper
Reilly, J., McCarthy, K., McGinty, L., Smyth, B. (2005). Incremental Critiquing. In: Bramer, M., Coenen, F., Allen, T. (eds) Research and Development in Intelligent Systems XXI. SGAI 2004. Springer, London. https://doi.org/10.1007/1-84628-102-4_8
Download citation
DOI: https://doi.org/10.1007/1-84628-102-4_8
Publisher Name: Springer, London
Print ISBN: 978-1-85233-907-4
Online ISBN: 978-1-84628-102-0
eBook Packages: Computer ScienceComputer Science (R0)