Is Products Recommendation Good? An Experiment on User Satisfaction

Jaime Wojciechowski, Rafael Romualdo Wandresen, Rafaela Mantovani Fontana, João Eugênio Marynowski, Alexander Robert Kutzke

2017

Abstract

Recommendation systems may use different algorithms to present relevant information to users. In e-commerce contexts, these systems are essential to provide users with a customized experience. Several studies have evaluated different recommendation algorithms against their accuracy, but only a few evaluate algorithms from the user satisfaction viewpoint. We here present a study that aims to identify how different recommendation algorithms trigger different perceptions of satisfaction on users. Our research approach was an experiment using products and sales data from a real small retailer. Users expressed their satisfaction perception for three different algorithms. The study results show that the algorithms proposed did not trigger different perceptions of satisfaction on users, giving clues of improvements to small retailers websites.

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Paper Citation


in Harvard Style

Wojciechowski J., Wandresen R., Mantovani Fontana R., Marynowski J. and Robert Kutzke A. (2017). Is Products Recommendation Good? An Experiment on User Satisfaction . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 713-720. DOI: 10.5220/0006316307130720


in Bibtex Style

@conference{iceis17,
author={Jaime Wojciechowski and Rafael Romualdo Wandresen and Rafaela Mantovani Fontana and João Eugênio Marynowski and Alexander Robert Kutzke},
title={Is Products Recommendation Good? An Experiment on User Satisfaction},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={713-720},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006316307130720},
isbn={978-989-758-248-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Is Products Recommendation Good? An Experiment on User Satisfaction
SN - 978-989-758-248-6
AU - Wojciechowski J.
AU - Wandresen R.
AU - Mantovani Fontana R.
AU - Marynowski J.
AU - Robert Kutzke A.
PY - 2017
SP - 713
EP - 720
DO - 10.5220/0006316307130720