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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Vydané v:	Expert systems with applications Ročník 200; s. 117035
Hlavní autori:	Cai, Xingjuan, Xie, Lijie, Tian, Rui, Cui, Zhihua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 15.08.2022 Elsevier BV
Predmet:	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
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