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| Tomas Klos, Koye Somefun, Han La Poutré, "Automated Interactive Sales Processes," IEEE Intelligent Systems, vol. 26, no. 4, pp. 54-61, July/August, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2010.34, author = {Tomas Klos and Koye Somefun and Han La Poutré}, title = {Automated Interactive Sales Processes}, journal ={IEEE Intelligent Systems}, volume = {26}, number = {4}, issn = {1541-1672}, year = {2011}, pages = {54-61}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2010.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Automated Interactive Sales Processes IS - 4 SN - 1541-1672 SP54 EP61 EPD - 54-61 A1 - Tomas Klos, A1 - Koye Somefun, A1 - Han La Poutré, PY - 2011 KW - intelligent systems KW - multi-issue negotiation KW - nonlinear preferences KW - recommender systems KW - machine learning KW - user modeling KW - numerical experiments VL - 26 JA - IEEE Intelligent Systems ER - | |||
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)
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.
1. Y. Bakos and E. Brynjolfsson, "Bundling Information Goods: Pricing, Profits, and Efficiency," Management Science, MIT Press, 1999, pp. 1613–1630.
2. A. Felfernig, G. Friedrich, and L. Schmidt-Thieme, "Guest Editors' Introduction: Recommender Systems," IEEE Intelligent Systems, vol. 22, no. 3, 2007, pp. 18–21.
3. J. Kephart et al., "Pricing Information Bundles in a Dynamic Environment," Proc. 3rd ACM Conf. Electronic Commerce (ACM-EC), ACM Press, 2001, pp. 180–190.
1. R.H. Guttman and P. Maes, "Agent-Mediated Integrative Negotiation for Retail Electronic Commerce," Proc. Selected Papers from 1st Int'l Workshop on Agent Mediated Electronic Trading on Agent Mediated Electronic Commerce (AMET 98), Springer-Verlag, 1999, pp. 70–90.
2. M. Klein et al., "Protocols for Negotiating Complex Contracts," IEEE Intelligent Systems, vol. 18, no. 6, 2003, pp. 32–38.
3. P. Faratin, C. Sierra, and N. Jennings, "Using Similarity Criteria to Make Issue Trade-Offs," Artificial Intelligence, vol. 142, no. 2, 2002, pp. 205–237.
1. D. Zeng and K. Sycara, "Bayesian Learning in Negotiation," Int'l J. Human-Computer Studies, vol. 48, no. 1, 1998, pp. 125–141.
2. S. Buffett and B. Spencer, "A Bayesian Classifier for Learning Opponents' Preferences in Multi-object Automated Negotiation," J. Electronic Commerce Research & Applications, vol. 6, no. 3, 2007, pp. 274–284.
3. R. Coehoorn and N. Jennings, "Learning an Opponent's Preferences to Make Effective Multi-issue Negotiation Tradeoffs," Proc. 6th Int'l Conf. E-Commerce (ICEC), ACM Press, 2004, pp. 59–68.
4. R. Lin et al., "Negotiating with Bounded Rational Agents in Environments with Incomplete Information Using an Automated Agent," J. Artificial Intelligence, vol. 172, nos. 6–7, 2009, pp. 823–851.