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This page contains the titles and abstracts of papers written by author Raykhel, Ilya, a member of the BYU Neural Networks and Machine Learning (NNML) Research Group. Postscript files are available for most papers. A more concise list is available.
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Real-time Automatic Price Prediction for eBay Online Trading
- Authors: Ilya Raykhel and Dan Ventura
- Abstract:
We develop a system for attribute-based prediction of final (online) auction pricing, focusing on the eBay laptop category. The system implements a feature-weighted k-NN algorithm, using evolutionary computation to determine feature weights, with prior trades used as training data. The resulting average prediction error is 16%. Mostly automatic trading using the system greatly reduces the time a reseller needs to spend on trading activities, since the bulk of market research is now done automatically with the help of the learned model. The result is a 562% increase in trading efficiency (measured as profit/hour).
- Reference: In Proceedings of the Innovative Applications of Artificial Intelligence Conference, pages 135–140, July 2009.
- BibTeX
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