The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
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Citations
Cites
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
Aamodt, A., & Plaza, E. (1994) · AI Communications · doi:10.3233/aic-1994-7104 · Cited by 5,624
Research works printed but not linked: 13
- Bergmann, R., Richter, M., Schmitt, S., Stahl, A. and Vollrath, I.: Utility-SOriented Matching: A New Research Direction for Case-Based Reasoning. In: Proceedings of the German Workshop on Case-Based Reasoning, 2001.
- Burke, R.: Conceptual Indexing and Active Retrieval of Video for Interactive Learning Environments. Knowledge-Based Systems, 9(8):491–499, 1996. · DOI
- Burke, R.: A case-based approach to collaborative filtering. In: Proceedings of the 5th European Workshop on Case-Based Reasoning. Springer-Verlag, 2000. · DOI
- Faltings, B.: Probabilistic Indexing for Case-Based Prediction. In: Proceedings of the 2nd International Conference on Case-Based Reasoning, pages 611–622. Springer-Verlag, 1997. · DOI
- S. Fox, S. and Leake, D. B.: Using Introspective Reasoning to Refine Indexing. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, pages 391–397. Morgan Kaufmann, 1995.
- Kolodner, J.: Judging which is the “best” case for a case-based reasoner. In: Proceedings of the Second Workshop on Case-Based Reasoning, pages 77–81. Morgan Kaufmann, 1989.
- Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, 1993. · DOI · Paper page
- Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gorgan, L.R., and J. Riedl.: GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40(3):77–87, 1997. · DOI · Paper page
- Leake, D. B.: Case-Based Reasoning: Experiences,Lessons and Future Directions. AAAI/MIT Press, 1996.
- Leake, D. B.: Constructive Similarity Assessment: Using Stored Cases to Define New Situations. In: Proceedings of the 14th Annual Conference of the Cognitive Science Society, pages 313–318. Lawrence Earlbaum Associates, 1992.
- Smyth, B. and Cotter, P.: A Personalized TV Listings Service for the Digital TV Age. Journal of Knowledge-Based Systems, 13(2-3):53–59, 2000. · DOI
- Smyth, B.: and Keane, M.: Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning. Artificial Intelligence, 102:249–293, 1998. · DOI
- Smyth, B.: and McKenna, E.: Incremental Footprint-Based Retrieval. In: Proceedings of the 21st SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, pages 89–101. Springer Verlag, 2000.
Cited by
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
“Likewise, certain AI problems (such as content recommendation or information retrieval) also aim at producing diverse recommendations rather than highly-scoring yet similar results [405,406] .”
Introduction to Recommender Systems Handbook
Ricci, F., Rokach, L., & Shapira, B. (2011) · Recommender Systems Handbook · doi:10.1007/978-0-387-85820-3_1 · Cited by 2,378
Kaminskas, M., & Bridge, D. (2017) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2926720 · Cited by 465
Möller, J., Trilling, D., Helberger, N., & van Es, B. (2018) · Information, Communication & Society · doi:10.1080/1369118x.2018.1444076 · Cited by 387
(2006) · Open Research (University of Surrey) · Cited by 23
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Zhou, H., Chen, Y., Guo, S., Yan, X., Lee, K. H., Wang, Z., Lee, K. Y., Zhang, G., Shao, K., Yang, L., et al. (2025) · arXiv · doi:10.48550/arxiv.2508.16153 · Cited by 2
“To this end, we introduce Memento , a non-parametric, learn-on-the-fly framework for CBR (Smyth and McClave, 2001, Hatalis et al., 2025), instantiated as a planner–executor architecture grounded in a memory-based Markov Decision Process (MDP).”
Metadata
- Authors
- Smyth, B., & McClave, P.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2001
- Pages
- 347-361
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1774663064
- Cited by
- 422
- References
- 1
- FWCI
- 5.36
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
