Abstract
In this paper we present a k-Nearest Neighbour case-based reasoning system for classifying products into an ontology of classes. Such a classifier is of particular use in the business-to-business electronic commerce industry, where maintaining accurate products catalogues is critical for accurate spend-analysis and effective trading. Universal classification schemas, such as the United Nations Standard Products and Services Code hierarchy, have been created to aid this process, but classifying items into such a hierarchical schema is a critical and costly task. While (semi)-automated classifiers have previously been explored, items not initially classified still have to be classified by hand in a costly process. To help overcome this issue, we develop a conversational approach which utilises the known relationship between classes to allow the user to come to a correct classification much more often with minimal effort.
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References
Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. Artificial Intelligence Communications 7(1), 39–59 (1994)
Abels, S., Hahn, A.: Reclassification of electronic product catalogs: The “apricot” approach and its evaluation results. Informing Science Journal 9, 31–47 (2006)
De Mántaras, R.L., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M.L., Cox, M.T., Forbus, K., Keane, M., Aamodt, A., Watson, I.: Retrieval, resuse, revision and retention in case-based reasoning. The Knowledge Engineering Review 20(3), 215–240 (2005)
Díaz-Agudo, B., González-Calero, P.A., Recio-García, J.A., Sánchez-Ruiz-Granados, A.A.: Building CBR systems with jCOLIBRI. Science of Computer Programming 69, 68–75 (2007)
Ding, Y., Korotkiy, M., Omelayenko, B., Kartseva, V., Zykov, V., Klein, M., Schulten, E., Fensel, D.: GoldenBullet in a nutshell. In: Proceedings of FLAIRS 2002 (2002)
Grabowski, H., Lossack, R., Weißkopf, J.: Datenmanagement in der Produktentwicklung (Data management in product development). Hanser-Verlag (2002)
Hatcher, E., Gospodnetić, O., McCandless, M.: Lucene in Action, 2nd edn. Action Series. Manning Publications Co. (2004)
Kim, Y., Lee, T., Chun, J., Lee, S.: Modified Naïve Bayes classifier for e-catalog classification. In: Lee, J., Shim, J., Lee, S.-g., Bussler, C., Shim, S. (eds.) DEECS 2006. LNCS, vol. 4055, pp. 246–257. Springer, Heidelberg (2006)
McGinty, L., Smyth, B.: Improving the performance of recommender systems that use critquing. In: Mobasher, B., Anand, S.S. (eds.) ITWP 2003. LNCS (LNAI), vol. 3169, pp. 114–132. Springer, Heidelberg (2005)
Recio-García, J.A., Sánchez-Ruiz, A.A., Díaz-Agudo, B., González-Calero, P.A.: jCOLIBRI 1.0 in a nutshell: A software tool for designing CBR systems. In: Petridis, M. (ed.) Proccedings of the 10th UK Workshop on Case Based Reasoning, pp. 20–28. CMS Press, University of Greenwich (2005)
Recio-García, J.A., Díaz-Agudo, B., González-Calero, P.A.: Textual CBR in jCOLIBRI: From retrieval to reuse. In: Wilson, D.C., Khemani, D. (eds.) Proceedings of the ICCBR 2007 Workshop on Textual Case-Based Reasoning: Beyond Retrieval, pp. 217–226 (August 2007)
Recio-García, J.A., Díaz-Agudo, B., González-Calero, P.A., Sánchez-Ruiz, A.A.: Ontology based CBR with jCOLIBRI. In: Ellis, R., Allen, T., Tuson, A. (eds.) Proceedings of AI 2006, The Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Applications and Innovations in Intelligent Systems XIV, pp. 149–162. Springer, Cambridge (2006)
Smyth, B., McKenna, E.: Footprint-based retrieval. In: Althoff, K.D., Bergmann, R., Branting, L.K. (eds.) ICCBR 1999. LNCS (LNAI), vol. 1650, pp. 343–357. Springer, Heidelberg (1999)
UNSPSC: Better supply managment with UNSPSC. Electronic, http://www.unspsc.org/AdminFolder/Documents/adopting-unspsc.pdf (retrieved January 14, 2011)
Weber, R.O., Ashley, K.D., Brüninghaus, S.: Textual case-based reasoning. The Knowledge Engineering Review 20(3), 255–260 (2005)
Wettschereck, D., Aha, D.W., Mohri, T.: A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review 11, 273–314 (1997)
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Abbott, A.A., Watson, I. (2011). Ontology-Aided Product Classification: A Nearest Neighbour Approach. In: Ram, A., Wiratunga, N. (eds) Case-Based Reasoning Research and Development. ICCBR 2011. Lecture Notes in Computer Science(), vol 6880. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23291-6_26
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DOI: https://doi.org/10.1007/978-3-642-23291-6_26
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