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| A Review of Explainable Information Recommendation |
| Li Weiqing1,3, Wang Weijun2, Huang Wei1,3, Tian Meng1, Zhang Rui1 |
1.School of Economics and Management, Hubei University of Technology, Wuhan 430068
2.Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan 430079
3.Hubei Circular Economy Development Research Center, Wuhan 430068 |
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Abstract Explainable information recommendation can effectively improve the reliability of recommendation results and user’s trust and satisfaction, which will be an important direction of future research. Reviewing the situation and progress of research in this area can provide ideas and reference for further investigation, and promote the development of explainable recommender. By searching and investigating the literature related to explainable information recommendation at home and abroad, we deeply analyzed the status and shortcomings of research in three aspects: interpretation mechanism of explainable recommendation model, media and presentation of recommendation interpretation, and recommendation interpretation evaluation. Furthermore, we responded to the “three W (who, what, why) questions” in explainable intelligent recommender system, proposed future research directions and topics of explainable information recommendation.
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Received: 03 March 2022
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