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Authors: Mohammed Alshammari ; Olfa Nasraoui and Behnoush Abdollahi

Affiliation: Knowledge Discovery and Web Mining Lab, CECS Department, University of Louisville, Louisville, Kentucky 40292 and U.S.A.

ISBN: 978-989-758-330-8

Keyword(s): Recommender Systems, Semantic Web, Collaborative Filtering, Matrix Factorization.

Abstract: Matrix factorization is an accurate collaborative filtering method for predicting user preferences. However, it is a black box system that lacks transparency, providing little information about both users and items in comparison with white box systems. White box systems can easily generate explanations, relying on the rich information foundation that these systems exploit in an explicit manner. However, the accuracy of recommendations is generally low. In this work, we take advantage of the Semantic Web in the process of building a black box model which can make recommendations that can be explained. Our experiments show that our proposed method succeeds in producing lower error rates and in explaining its outputs.

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Paper citation in several formats:
Alshammari, M.; Nasraoui, O. and Abdollahi, B. (2018). A Semantically Aware Explainable Recommender System using Asymmetric Matrix Factorization.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-330-8, pages 268-273. DOI: 10.5220/0006937902680273

@conference{kdir18,
author={Mohammed Alshammari. and Olfa Nasraoui. and Behnoush Abdollahi.},
title={A Semantically Aware Explainable Recommender System using Asymmetric Matrix Factorization},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2018},
pages={268-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006937902680273},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - A Semantically Aware Explainable Recommender System using Asymmetric Matrix Factorization
SN - 978-989-758-330-8
AU - Alshammari, M.
AU - Nasraoui, O.
AU - Abdollahi, B.
PY - 2018
SP - 268
EP - 273
DO - 10.5220/0006937902680273

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