Predicting online auction final prices using time series splitting and clustering

Authors:
Takuya Yokotani;Hung-Hsuan Huang;Kyoji Kawagoe
Affiliations:
Ritsumeikan University, Kusatsu-city, Shiga, Japan;Ritsumeikan University, Kusatsu-city, Shiga, Japan;Ritsumeikan University, Kusatsu-city, Shiga, Japan
Venue:
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Year:
2012

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Abstract

Online auctions allows users to sell and buy a variety of goods, and they are now one of the most important web services. Predicting final prices on online auctions is a hard task. However, there has been much pioneering work over the past ten years. In this paper, we propose a novel method for predicting final prices using a time series splitting and clustering method to provide higher accuracy. An evaluation of the effectiveness of our method is also described in the paper.