A Case-Based Reasoning View of Automated Collaborative Filtering

Author:

Hayes Conor,Cunningham Pádraig,Smyth Barry

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Aamodt, A. and Plaza, E., (1994). Case Based Reasoning: foundational issues, methodological variations, and system approaches. AI Communications, 7(1):39–59

2. Agrawal, R., Manilla, H., Srikant, R., Toivonen, H., Verkamo, A.I. (1996) Fast discovery of association rules in Advances in Knowledge Discovery and Data mining, pp. 307–328, eds. Fayyad, U.M., Piateskty-Shapiro, G, Smyth, P., Uthurusamy, R. AAAI/MIT Press 1996.

3. Aha, D. W. (1997). A proposal for refining case libraries. In R. Bergmann & W. Wilke (Eds.) Proceedings of the Fifth German Workshop on CBR (TR LSA-97-01E).

4. Aha, D., (1998) Reasoning and Learning: The Lazy-Eager Dimension, Invited Keynote Talk at EWCBR 1998, http://www.aic.nrl.navy.mil/~aha/

5. Aha, D., (2001). Conversational Case based Reasoning in Applied Intelligence (14:1), special issue on “Interactive CBR”, Kluwer.

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