Abstract
This paper presents an approach for determining clusters of customer agents having both similar interests and buying behaviour. On the one hand, a seller can exploit such a clustering for improving its activities, e.g. for adapting the presentation of its Web Site or for proposing suitable offers to each agent cluster. On the other hand, a customer agent can realize with the other agents of its cluster various kinds of collaboration. In our approach, each agent is provided with an ontology that representing interests and behaviour of its human owner and the clustering technique we propose, that is performed at two levels of detail, is based on the extraction of semantic similarities between agent ontologies.
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References
Brewka, G., Eiter, T.: Preferred answer sets for extended logic programs. Artificial Intelligence 109, 297–356 (1999)
Buccafurri, F., Rosaci, D., Sarné, G.M.L., Ursino, D.: An agent-based hierarchical clustering approach for e-commerce environments. In: Proc. of the 3th EC-WEB Conf., Aix-en-Provence, France, pp. 115–118. Springer, Heidelberg (2002)
CKML (2005), http://www.ontologos.org/ckml/ckml/ckml%200.2.html
DAML+OIL (2005), http://www.daml.org/2001/03/daml+oil-index.html
Gelfond, M., Lifschitz, V.: Classical negations in logic programs and disjunctive databases. New Generation Computing 9, 365–386 (1991)
Johnson, S.J.: Hierarchical Clustering Schemes. Psychometrika 2, 241–254 (1967)
Miller, A.G.: WordNet: A lexical database for english. Comm. of the ACM 38(11), 39–41 (1995)
Ogston, E., van Steen, M., Brazier, F.: Group Formation Among Decentralized Autonomous Agents. Applied Artificial Intelligence 10(9-10), 953–970 (2004)
OML (2005), http://www.ontologos.org/oml/oml%20root.html
Visser, P.R.S., Tamma, V.A.M.: An Experiment with Ontology-Based Agent Clustering. In: Proc. of the IJCAI 1999 Workshop on Ontologies and Problem-Solving Methods, Stockolm, Sweden (1999)
W3C Recommendation (2005), http://www.w3.org
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Rosaci, D. (2005). An Ontology-Based Two-Level Clustering for Supporting E-Commerce Agents’ Activities. In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2005. Lecture Notes in Computer Science, vol 3590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11545163_4
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DOI: https://doi.org/10.1007/11545163_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28467-3
Online ISBN: 978-3-540-31736-4
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