Reinforced Path Reasoning for Counterfactual Explainable Recommendation-Reference-Cited by-同舟云学术

Reinforced Path Reasoning for Counterfactual Explainable Recommendation

Published:2024-07 Issue:7 Volume:36 Page:3443-3459
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Wang Xiangmeng¹^ORCID,Li Qian²^ORCID,Yu Dianer¹^ORCID,Li Qing³^ORCID,Xu Guandong⁴^ORCID

Affiliation:

1. Data Science and Machine Intelligence Lab, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia

2. School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, Australia

3. Department of Computing, Hong Kong Polytechnic University, Hong Kong, China

4. University of Technology Sydney, Ultimo, NSW, Australia

Funder

National Natural Science Foundation of China

Australian Research Council Under

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/69/10549876/10399934.pdf?arnumber=10399934

Reference72 articles.

1. Be Causal: De-Biasing Social Network Confounding in Recommendation

2. Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

3. Explainable Recommendation: A Survey and New Perspectives

4. Explainable Reasoning over Knowledge Graphs for Recommendation

5. Explainable recommendation based on knowledge graph and multi-objective optimization

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