Abstract
This work proposes an intelligent interface for customer behavior analysis in electronic commerce. The intelligent interface contains three modules, namely, the task editor, action supervisor, and behavior analyzer. The task editor provides an intelligent interface for the system administrator to define the business tasks and domain ontology. The action supervisor is defined as the information collector for monitoring the customer operations, excluding unnecessary operations, and recognizing the behavior patterns. The action supervisor uses the interaction message to extract customer operations, the Bayesian belief network to filter out redundant and irrelevant operations, and the RBF neural networks to recognize the behavior patterns. Finally, the behavior analyzer generates the customer behavior analysis information by measuring the behavior patterns, constructing the personalized domain ontology, and evaluating skill proficiency of the customer.
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Hsu, CC., Deng, CW. (2004). An Intelligent Interface for Customer Behaviour Analysis from Interaction Activities in Electronic Commerce. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_33
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DOI: https://doi.org/10.1007/978-3-540-24677-0_33
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