A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning-Reference-Cited by-同舟云学术

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A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning

Published:2024 Issue: Volume:12 Page:91999-92019
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tiwary Neeraj¹^ORCID,Mohd Noah Shahrul Azman¹^ORCID,Fauzi Fariza²^ORCID,Yee Tan Siok¹^ORCID

Affiliation:

1. Centre for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia

2. Centre for Cyber Security, Faculty of Information Science and Technology, UKM, Bangi, Selangor, Malaysia

Funder

Universiti Kebangsaan Malaysia through the Prime Impact Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10583886.pdf?arnumber=10583886

Reference106 articles.

1. Recommender Systems: An Explainable AI Perspective

2. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement

3. Deep reinforcement learning in recommender systems: A survey and new perspectives

4. A Survey on Knowledge Graph-Based Recommender Systems

5. Systematic Review of the published Explainable Educational Recommendation Systems

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