Multi-Agent Conversational Recommendation is a framework within conversational recommendation systems wherein multiple autonomous or semi-autonomous agents interact dynamically to jointly model user preferences and generate coordinated recommendations through natural language dialogue.
10
Publications
238
Citations
48
Authors
19
Institutions
Publications per year
2017–2026
8
Publications
10
Neil W. Van Dyke, Henry Lieberman, Pattie Maes · 1998 · 39 citations
Jinsong Han, Chen Qian, Yu‐Qin Yang et al. · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2018 · 31 citations
1–5 of 10
Authors
48
- SS
1
h-index
- NM
1
h-index
- HZ
1
h-index
- NENeda Enami -
1 publications · 11 citations
1
h-index
- TM
1
h-index
1–5 of 48
Institutions
19
Adobe Systems (United States)
San Jose, United States
1 h-index
4 publications
60 citations
Harokopio University of Athens
Athens, Greece
1 h-index
2 publications
76 citations
Bellevue Hospital Center
New York, United States
1 h-index
2 publications
38 citations
University of Dubai
Dubai, United Arab Emirates
1 h-index
1 publications
38 citations
Microsoft Research Asia (China)
Beijing, China
1 h-index
1 publications
33 citations
National Technical University of Athens
Athens, Greece
1 h-index
5 publications
130 citations
University of California San Diego
San Diego, United States
1 h-index
1 publications
15 citations
Nagoya Institute of Technology
Nagoya, Japan
1 h-index
2 publications
26 citations
1–8 of 19
Venues
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
IMWUT · 1 publications · 31 citations
1
h-index
- IEEE Transactions on Computational Social Systems
1 publications · 33 citations
1
h-index
- INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences
AISS · 1 publications · 11 citations
1
h-index
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 1 publications · 19 citations
1
h-index
- Big Data and Cognitive Computing
1 publications · 38 citations
1
h-index
1–5