WordNet: a lexical database for English
Communications of the ACM
Preferred answer sets for extended logic programs
Artificial Intelligence
An Agent-Based Hierarchical Clustering Approach for E-commerce Environments
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
Agents' roles in B2C e-commerce
AI Communications
Agent clustering based on semantic negotiation
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Exploiting noun phrases and semantic relationships for text document clustering
Information Sciences: an International Journal
| Hi-index | 0.00 |
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.