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Issue No.04 - July/August (2011 vol.26)
pp: 54-61
Tomas Klos , Delft University of Technology
Koye Somefun , BNP Paribus Investment Partners
ABSTRACT
<p>An automated interactive sales process can combine aggregate anonymous knowledge of customer preferences with specific data about the ongoing negotiation process with the current customer. (This pdf contains an error. The DOI listed for the Web Extra should be http://doi.ieeecomputersociety.org/10.1109/MIS.2010.34)</p>
INDEX TERMS
intelligent systems, multi-issue negotiation, nonlinear preferences, recommender systems, machine learning, user modeling, numerical experiments
CITATION
Tomas Klos, Koye Somefun, Han La Poutré, "Automated Interactive Sales Processes", IEEE Intelligent Systems, vol.26, no. 4, pp. 54-61, July/August 2011, doi:10.1109/MIS.2010.34
REFERENCES
1. A. Mas-Colell, M. Whinston, and J. Green, Mircoeconomic Theory, Oxford Univ. Press, 1995.
2. K. Somefun, T. Klos, and H. La Poutré, "Online Learning of Aggregate Know-ledge about Nonlinear Preferences Applied to Negotiating Prices and Bundles," Proc. Int'l Conf. Electronic Commerce (ICEC), ACM Press, 2004, pp. 361–370.
3. J. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," Proc. 14th Conf. Uncertainty in Artificial Intelligence (UAI), Morgan Kaufmann, 1998, pp. 43–52.
4. P. Faratin, C. Sierra, and N. Jennings, "Negotiation Decision Functions for Autonomous Agents," Int'l J. Robotics and Autonomous Systems, vol. 24, nos. 3–4, 1998, pp. 159–182.
5. V. Robu, K. Somefun, and H. La Poutré, "Modeling Complex Multi-issue Negotiations Using Utility Graphs," Proc. 4th Int'l Joint Conf. Autonomous Agents and Multiagent Systems (AAMAS), ACM Press, 2005, pp. 280–287.
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