Explicable recommendation based on knowledge graph

•Explainable recommendation model is proposed to improve recommended performance.•Precision, diversity, novelty and explainability are optimized simultaneously.•The list of candidate recommendation is gained through knowledge graph.•Embedding vectors of entities and relationships are obtained by Tra...

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Vydáno v:	Expert systems with applications Ročník 200; s. 117035
Hlavní autoři:	Cai, Xingjuan, Xie, Lijie, Tian, Rui, Cui, Zhihua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 15.08.2022 Elsevier BV
Témata:	Embedding Evolutionary algorithms Explainable recommendation Genetic algorithms Knowledge graph Knowledge representation Many-objective evolutionary algorithm Recommendation system Recommender systems Unified method Explainable recommendation Unified method Many-objective evolutionary algorithm Knowledge graph Recommendation system
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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