EC-Web 2005: E-Commerce and Web Technologies pp 31-40 | Cite as
An Ontology-Based Two-Level Clustering for Supporting E-Commerce Agents’ Activities
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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