Session modeling to predict online buyer behavior

Authors:
Andrii Cherniak;Jesse Bridgewater
Affiliations:
University of Pittsburgh, Pittsburgh, PA, USA;eBay Inc, San Jose, CA, USA
Venue:
Proceedings of the 2013 workshop on Data-driven user behavioral modelling and mining from social media
Year:
2013

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Abstract

In this paper, we explore the feasibility of long-term prediction of buyer behavior using context-based approach based on variable-length markov chains. We discuss different strategies on event log pre-processing and the impact of this operation on the accuracy of the result. We report our results on the accuracy of the prediction of buyer / seller behavior on eBay marketplace for one week in the future1.