A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings

A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings

Recommender systems (RS) have been developed to make personalized suggestions and enrich users’ preferences in various online applications to address the information explosion problems. However, traditional recommender-based systems act as black boxes, not presenting the user with insights into the...

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Bibliographic Details
Main Authors: Ronky Francis Doh, Conghua Zhou, John Kingsley Arthur, Isaac Tawiah, Benjamin Doh
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Data
Subjects:
deep neural network embeddings
explainable artificial intelligence
knowledge graph embeddings
relational learning
recommender systems
Online Access:https://www.mdpi.com/2306-5729/7/7/94

Internet

https://www.mdpi.com/2306-5729/7/7/94

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