Explainable Conversational Recommendation
Explainable Conversational Recommendation is a conversational recommendation approach that, as its distinguishing feature, integrates transparent and interpretable reasoning mechanisms to explicitly justify recommendation decisions during user interactions.
10
Publications
369
Citations
46
Authors
24
Institutions
Publications per year
2017–2026
10
10
Towards Explainable Conversational Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie et al. · 2020 · 56 citations · Full text
A Model of Social Explanations for a Conversational Movie Recommendation System
Florian Pécune, Vivian Tsai, Yoichi Matsuyama et al. · 2019 · 50 citations
1–5 of 10
46
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 46
24
Microsoft Research Asia (China)
Beijing, China
2 h-index
4 publications
181 citations

University of Glasgow
Glasgow, United Kingdom
2 h-index
4 publications
158 citations
Waseda University
Tokyo, Japan
2 h-index
2 publications
63 citations
Wuhan University
Wuhan, China
1 h-index
2 publications
42 citations
University of Siegen
Siegen, Germany
1 h-index
4 publications
80 citations
Northeastern University
Boston, United States
1 h-index
1 publications
36 citations
Jianghan University
Wuhan, China
1 h-index
1 publications
21 citations
Beijing Institute of Big Data Research
Beijing, China
1 h-index
4 publications
288 citations
1–8 of 24
1 publications · 59 citations
1
h-index
1 publications · 36 citations
1
h-index
1 publications · 21 citations
1
h-index
TKDE · 1 publications · 14 citations
1 publications · 10 citations
1–5