Explaining compound critiques

Artificial Intelligence Review

Volumn 24, Issue 2, 2005, Pages 199-220

  Reilly, James ^a   McCarthy, Kevin ^a   McGinty, Lorraine ^a   Smyth, Barry ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Case based reasoning; Compound critiquing; Explanation; Feedback elicitation in recommender systems

Indexed keywords

EDUCATION; FEEDBACK; SALES; SOCIAL ASPECTS;

CASE-BASED REASONING (CBR); COMPOUND CRITIQUING; EXPLANATION; FEEDBACK ELICITATION IN RECOMMENDER SYSTEMS;

ARTIFICIAL INTELLIGENCE;

EID: 27744455377     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-005-4614-8     Document Type: Review

References (22)

1. Aamodt, A. (1994). Explanation-Driven Case-Based Reasoning. In: Wess, S. Althoff, K. & Richter M. (eds.) Proceedings of the European Workshop on Case-Based Reasoning (EWCBR-94), 274-288. Springer: Berlin, Germany.
2. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H. & Verkamo, A. I. (1996). Fast Discovery of Association Rules in Large Databases. Advances in Knowledge Discovery and Data Mining, 307-328. AAAI Press: Portland.
3. Barletta, R. & Mark, W. (1988). Explanation-Based Indexing of Cases. In: Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI-88), 541-546. AAAI. Minneapolis, MN, US.
4. Burke, R., Hammond, K. & Young, B. (1996). Knowledge-Based Navigation of Complex Information Spaces. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, 462-468. AAAI Press/MIT Press: Portland, OR.
5. Burke, R., Hammond, K. & Young, B. (1997). The FindMe Approach to Assisted Browsing. Journal of IEEE Expert 12(4): 32-40.
6. Cunningham, P., Doyle, D. & Loughrey, J. (2003). An Evaluation of the Usefulness of Case-Based Explanation. In: K. Ashley & D. Bridge (eds.): Case-Based Reasoning Research and Development. LNAI, Vol. 2689, 122-130. Springer-Verlag: Berlin Heidelberg.
7. Doyle, D., Cunningham, P. Bridge, D. & Rahman, Y. (2004). Explanation Oriented Retrieval. In González-Calero, P. A. & Funk, P. (eds.) Advances in Case-Based Reasoning (ECCBR-04), 157-168. Springer-Verlag: Berlin, Heidelberg.
8. Gervás, P. & Gupta, K.M. (eds.) 2004. Proceedings of the ECCBR 2004 Workshops. Technical Report 142-04, Departamento de Sistemas Informáticos y Programación, Universidad Complutense de Madrid: Madrid, Spain.
9. Gu, M. & Aamodt, A. (2004). Explanation-Boosted Question Selection in Conversational CBR. In Gervás, P. & Gupta, K.M. (eds.) Proceedings of the ECCBR 2004 Workshops, pp. 105-114. Technical Report 142-04, Departamento de Sistemas Informáticos y Programación, Universidad Complutense de Madrid: Madrid, Spain.
10. Hu, Z., Chin, W. & Takeichi, M. (2000). Calculating a New Data Mining Algorithm for Market Basket Analysis. Lecture Notes in Computer Science 1753, 169-175. Springer-Verlag: Berlin.
11. Ihrig, L. & Kambhampati, S. (1995). An Explanation-Based Approach to Improve Retrieval in Case-Based Planning. In: Ghallab, M. & Milani, A. (eds.) Proceedings of the European Workshop on Planning (EWSP-95), 395-406. IOS Press: Amsterdam.
12. McCarthy, K., Reilly, J. McGinty, L. & Smyth, B. (2004). On the Dynamic Generation of Compound Critiques in Conversational Recommender Systems. In: Bra, P. D. (ed.): Proceedings of the Third International Conference on Adaptive Hypermedia and Web-Based Systems (AH-04), pp. 176-184. Springer-Verlag: Eindhoven, The Netherlands.
13. McGinty, L. & Smyth, B. (2003). Tweaking Critiquing. In: Proceedings of the Workshop on Personalization and Web Techniques at the International Joint Conference on Artificial Intelligence (IJCAI-03), 20-27. Morgan-Kaufmann: Acapulco, Mexico.
14. McSherry, D. (2003). Explanation in Case-Based Reasoning: An Evidential Approach. In: Lees, B. (ed.) Proceedings of the 8th UK Workshop on Case-Based Reasoning. Cambridge, UK.
15. McSherry, D. (2004a). Explaining the Pros and Cons of Conclusions in CBR. In González-Calero, P. A. & Funk, P. (eds.) Advances in Case-Based Reasoning (ECCBR-04), 317-330. Springer-Verlag: Berlin Heidelberg.
16. McSherry, D. (2004b), Incremental Relaxation of Unsuccessful Queries. In González-Calero, P. A. & Funk, P. (eds.) Advances in Case-Based Reasoning (ECCBR-04). pp. 331-345. Springer-Verlag: Berlin, Heidelberg.
17. McSherry, D. (2005). Explanation in Recommender Systems. Artificial Intelligence Review. This Issue.
18. Nugent, C. & Cunningham, P. (2005). A Case-Based Explanation System for Black-Box Systems. Artificial Intelligence Review. This Issue.
19. Plaza, E., E. Armengol, & S. Ontañón: 2005, The Explanatory Power of Symbolic Similarity in Case-Based Reasoning. Artificial Intelligence Review. This Issue.
20. Reilly, J., McCarthy, K. McGinty, L. & Smyth, B. (2004). Dynamic Critiquing. In González-Calero, P. A. & Funk, P. (eds.) Advances in Case-Based Reasoning (ECCBR-04), 763-777. Springer-Verlag: Berlin, Heidelberg.
21. Smyth, B., McGinty, L. Reilly, J. & McCarthy, K. (2004). Compound Critiques Feedback for Conversational Recommender Systems. In IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 145-151. IEEE. Beijing, China.
22. Sørmo, F., Cassens, J. & Aamodt, A. (2005). Explanation in Case-Based Reasoning-Perspectives & Goals. Artificial Intelligence Review. This Issue.