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Authors: Xu Wang 1 and Christopher Brewster 1 ; 2

Affiliations: 1 Institute of Data Science, Maastricht University, Paul-Henri Spaaklaan 1, 6229 GT, Maastricht, The Netherlands ; 2 Data Science Group, TNO, Kampweg, Soesterberg, The Netherlands

Keyword(s): Recommender System, Knowledge Graph, Forgetting, Datalog.

Abstract: Recommender systems need to contend with continuous changes in both search spaces and user profiles. The set of items in the search space is usually treated as continuously expanding, however, users also purchase items or change their requirements. This raises the issue of how to ”forget” an item after purchase or consumption. This paper addresses the issue of “forgetting” in knowledge graph-based recommender systems. We propose an innovative method for identifying and removing unnecessary or irrelevant triples from the graph itself. Using this approach, we simplify the knowledge graph while maintaining the quality of the recommendations. We also introduce several metrics to assess the impact of forgetting in knowledge graph-based recommender systems. Our experiments demonstrate that incorporating consideration of impact in the forgetting process can enhance the efficiency of the recommender system without compromising the quality of its recommendations.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wang, X. and Brewster, C. (2024). Forgetting in Knowledge Graph Based Recommender Systems. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-707-8; ISSN 2184-285X, SciTePress, pages 309-317. DOI: 10.5220/0012757300003756

@conference{data24,
author={Xu Wang and Christopher Brewster},
title={Forgetting in Knowledge Graph Based Recommender Systems},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA},
year={2024},
pages={309-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012757300003756},
isbn={978-989-758-707-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA
TI - Forgetting in Knowledge Graph Based Recommender Systems
SN - 978-989-758-707-8
IS - 2184-285X
AU - Wang, X.
AU - Brewster, C.
PY - 2024
SP - 309
EP - 317
DO - 10.5220/0012757300003756
PB - SciTePress

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