Abstract
The spread of internet is so rapid that emerging e-Business is making dramatic changes in this digital economy. An important component of e-Business research is the issue of the effective marketing in the keen competition. Many agents are developed to help buyers handle the dynamic purchasing environment and reduce the complexity of purchasing data. However, while most existing agents are focused on buyers’ needs, prior research on agents lacks the sellers’ perspectives. This study is intended to demonstrate the agent system that supports analysis of buyers’ purchasing data and predicts their behavior so that sellers can develop more systematic marketing strategies.
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Hwang, HJ. (2007). A Study to Apply Intelligent Agents for B2C Shopping Mall. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_63
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DOI: https://doi.org/10.1007/978-3-540-72830-6_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72829-0
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