Multi-attribute regret-based dynamic pricing

Lecture Notes in Business Information Processing

Volumn 44 LNBIP, Issue , 2010, Pages 73-87

  Jumadinova, Janyl ^a   Dasgupta, Prithviraj ^a  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

Dynamic pricing; Minimax regret; Pricebots

Indexed keywords

ALGORITHMS; COSTS; ELECTRONIC COMMERCE; INTELLIGENT AGENTS; SALES;

BUYERS AND SELLERS; DYNAMIC PRICING; INFORMATION ECONOMY; INFORMATION MARKET; MINIMAX REGRET; MULTI-ATTRIBUTES; MULTIPLE ATTRIBUTES; ON DYNAMICS; OTHER ALGORITHMS; PRICEBOTS; PRICING MECHANISM; PRIVATE INFORMATION; SIMULATION RESULT;

ECONOMICS;

EID: 77956108588     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-15237-5_6     Document Type: Conference Paper

References (19)

1. Bizrate Inc., http://www.bizrate.com
2. MySimon, http://www.mysimon.com
3. PriceGrabber, http://www.pricegrabber.com
4. Balcan, M.-F., Blum, A.: Approximation algorithms and online mechanisms for item pricing. In: Proc. ACM-EC, pp. 29-35 (2006)
5. Bergemann, D., Ozmen, D.: Optimal pricing with recommender systems. In: Proc. ACM-EC, pp. 43-51 (2006)
6. Boutilier, C., Patrascu, R., Poupart, P., Schuurmans, D.: Constraint-based optimization and utility elicitation using the minimax decision criterion. Artificial Intelligence 170(8), 686-713 (2006)
7. Chajewska, U., Koller, D., Parr, R.: Making rational decisions using adaptive utility elicitation. In: Proc. of the 17th National Conference on AI, pp. 363-369 (2006)
8. Conitzer, V.: Eliciting single-peaked preferences using comparison queries. In: Proc. AAMAS, pp. 408-415 (2007)
9. Dasgupta, P., Hashimoto, Y.: Multi-attribute Dynamic Pricing for Online Markets using Intelligent Agents. In: Proc. AAMAS, pp. 277-284 (2004)
10. DiMicco, J.M., Greenwald, A., Maes, P.: Dynamic Pricing Strategies under a Finite Time Horizon. In: Proc. ACM-EC, pp. 95-104 (2001)
11. Greenwald, A., Kephart, J.: Probabilistic Pricebots. In: Proc. of the 5th International Conference on Autonomous Agents, pp. 560-567 (2001)
12. Guruswami, V., Hartline, J., Karlin, A., Kempe, D., Kenyon, C.: On profitmaximizing envy-free pricing. In: Proc. 16th annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1164-1173 (2005)
13. Keeney, R., Raiffa, H.: Decisions with Multiple Objectives. Cambridge University Press, Cambridge (1993)
14. Kephart, J., Hanson, J., Greenwald, A.: Dynamic pricing by software agents. Computer Networks 32(6), 731-752 (2000)
15. Lahaie, S., Parkes, D.: Applying learning algorithms to preference elicitation. In: Proc. of the ACM Conference on Electronic Commerce, pp. 180-188 (2004)
16. Li, N., Zhang, P.: Consumer Online Shopping Attitudes and Behavior: An Assessment of Research. In: 8th Americas Conference on Information Systems (2002)
17. Shardanand, U., Maes, P.: Social Information Filtering: Algorithms for Automating "Word of Mouth". In: Proc. ACM Conference on Human Factors in Computing Systems, pp. 210-217 (1995)
18. Wei, Y.: Future Orientation, Chronological Age and Product Attributes Preference. PhD Thesis, Georgia State University (2007)
19. Wang, T., Boutilier, C.: Incremental utility elicitation with the minimax regret decision criterion. In: Proc. IJCAI 2003, pp. 309-316 (2003)