Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2022 France English Publisher:Elsevier BVJournal:Knowledge-Based Systems, volume 245, page 108,560 (issn: 0950-7051,

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Authors: Du, Yu; Ranwez, Sylvie; Sutton-Charani, Nicolas; Ranwez, Vincent;

doi: 10.1016/j.knosys.2022.108560 , 10.5281/zenodo.5122901 , 10.5281/zenodo.5122902

Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy

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Abstract

This public repository contains data and support files for the research work that we submit for review at Knowledge-based Systems (KBS). The research work is titled "Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy", by DU et al.

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Keywords

Knowledge graph, [SPI] Engineering Sciences [physics], Ontology, Recommendation explanation, [INFO] Computer Science [cs], 004, [SPI]Engineering Sciences [physics], DBpedia, [INFO]Computer Science [cs], Recommender system, Linked Open Data, Linked Open Data (LOD)

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	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%