A support system for predicting eBay end prices

Authors:
Dennis van Heijst;Rob Potharst;Michiel van Wezel
Affiliations:
Econometric Institute, Erasmus School of Economics, Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands;Econometric Institute, Erasmus School of Economics, Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands;Econometric Institute, Erasmus School of Economics, Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
Venue:
Decision Support Systems
Year:
2008

Citing 14
Cited 7

Automatic text processing: the transformation, analysis, and retrieval of information by computer

Automatic text processing: the transformation, analysis, and retrieval of information by computer
Bagging predictors

Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting

Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
i2i trust in e-commerce

Communications of the ACM
Establishing online trust through a community responsiblity system

Decision Support Systems
Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks
On the concept of trust

Decision Support Systems - Special issue: Formal modeling and electronic commerce
Building Trust in E-Commerce

IEEE Internet Computing
Maximizing Text-Mining Performance

IEEE Intelligent Systems
Combining Statistical and Relational Methods for Learning in Hypertext Domains

ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Building trust in online auction markets through an economic incentive mechanism

Decision Support Systems
Text analysis and knowledge mining system

IBM Systems Journal
Auction advisor: an agent-based online-auction decision support system

Decision Support Systems
Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior

MIS Quarterly

Borrower Decision Aid for people-to-people lending

Decision Support Systems
Managing information diffusion in Name-Your-Own-Price auctions

Decision Support Systems
Learning a board Balanced Scorecard to improve corporate performance

Decision Support Systems
Predicting eBay listing conversion

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A procedure using support vector data description and mutual information for end price assessment in online C2C auction

Electronic Commerce Research
Price comparison: A reliable approach to identifying shill bidding in online auctions?

Electronic Commerce Research and Applications
Predicting online auction final prices using time series splitting and clustering

APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications

Quantified Score

Hi-index	0.01

Visualization

Abstract

We create a support system for predicting end prices on eBay. The end price predictions are based on the item descriptions found in the item listings of eBay, and on some numerical item features. The system uses text mining and boosting algorithms from the field of machine learning. Our system substantially outperforms the naive method of predicting the category mean price. Moreover, interpretation of the model enables us to identify influential terms in the item descriptions and shows that the item description is more influential than the seller feedback rating, which was shown to be influential in earlier studies.