Natural Language Feedback Processing
Natural Language Feedback Processing is a computational framework within conversational recommendation systems that enables the interpretation and integration of user-generated natural language input to dynamically refine and personalize item recommendations.
62
Publications
2.6K
Citations
286
Authors
113
Institutions
Publications per year
2017–2026
52
62
Elisabeth Bauer, Martin Greisel, Ilia Kuznetsov et al. · British Journal of Educational Technology · 2023 · 115 citations · Full text
1–5 of 62
286
University at Buffalo, State University of New York, United States
2 publications · 46 citations
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2
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2
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1–5 of 286
113
Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
396 citations
University of Illinois Chicago
Chicago, United States
2 h-index
4 publications
71 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
38 citations

University of Glasgow
Glasgow, United Kingdom
2 h-index
5 publications
99 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
6 publications
246 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
89 citations
Technical University of Munich
Munich, Germany
2 h-index
2 publications
707 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
4 publications
76 citations
1–8 of 113
Repository · 7 publications · 230 citations
7
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2 publications · 90 citations
2
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PXJ · 2 publications · 38 citations
2
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Conference · 2 publications · 43 citations
2
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1 publications · 19 citations
1
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