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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Bibliographic Details

Published in:	Expert systems with applications Vol. 200; p. 117035
Main Authors:	Cai, Xingjuan, Xie, Lijie, Tian, Rui, Cui, Zhihua
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 15.08.2022 Elsevier BV
Subjects:	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
Online Access:	Get full text
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