Dialogue-based Recommendation
Dialogue-Based Recommendation is a recommendation paradigm that, as a distinct method within conversational systems, generates personalized suggestions through interactive natural language dialogue to iteratively elicit and refine user preferences.
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4.8K
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334
Authors
125
Institutions
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2017–2026
75
101
Hongshen Chen, Xiaorui Liu, Dawei Yin et al. · ACM SIGKDD Explorations Newsletter · 2017 · 531 citations
Case-based recommender systems
Derek Bridge, Mehmet H. Göker, Lorraine McGinty et al. · The Knowledge Engineering Review · 2005 · 248 citations
Towards Conversational Recommendation over Multi-Type Dialogs
Zeming Liu, Haifeng Wang, Zheng-Yu Niu et al. · 2020 · 159 citations · Full text
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University of Amsterdam
Amsterdam, The Netherlands
6 h-index
8 publications
202 citations
Shandong University
Jinan, China
4 h-index
22 publications
809 citations

Renmin University of China
Beijing, China
4 h-index
12 publications
1.3K citations
Tencent (China)
Shenzhen, China
4 h-index
6 publications
201 citations

Linköping University
Linköping, Sweden
4 h-index
6 publications
85 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
4 h-index
9 publications
219 citations
Free University of Bozen-Bolzano
Bolzano, Italy
3 h-index
6 publications
172 citations
University of Bari Aldo Moro
Bari, Italy
3 h-index
11 publications
490 citations
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Repository · 10 publications · 225 citations
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3 publications · 83 citations
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Conference · 3 publications · 140 citations
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TKDE · 4 publications · 65 citations
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2 publications · 62 citations
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