e-Shop User Preferences via User Behavior

Peter Vojtáš, Ladislav Peška


We deal with the problem of using user behavior for business relevant analytic task processing. We describe our acquaintance with preference learning from behavior data from an e-shop. Based on our experience and problems we propose a model for collecting (java script tracking) and processing user behavior data. We present several results of offline experiments on real production data. We show that mere data on users (implicit) behavior are sufficient for improvement of prediction of user preference. As a future work we present richer data on time dependent user behavior.


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Paper Citation

in Harvard Style

Vojtáš P. and Peška L. (2014). e-Shop User Preferences via User Behavior . In Proceedings of the 11th International Conference on e-Business - Volume 1: ICE-B, (ICETE 2014) ISBN 978-989-758-043-7, pages 68-75. DOI: 10.5220/0005102300680075

in Bibtex Style

author={Peter Vojtáš and Ladislav Peška},
title={e-Shop User Preferences via User Behavior},
booktitle={Proceedings of the 11th International Conference on e-Business - Volume 1: ICE-B, (ICETE 2014)},

in EndNote Style

JO - Proceedings of the 11th International Conference on e-Business - Volume 1: ICE-B, (ICETE 2014)
TI - e-Shop User Preferences via User Behavior
SN - 978-989-758-043-7
AU - Vojtáš P.
AU - Peška L.
PY - 2014
SP - 68
EP - 75
DO - 10.5220/0005102300680075