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2309.02052
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Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems
Frontiers in Big Data (FBD), 2023
5 September 2023
Ashmi Banerjee
Paromita Banik
Wolfgang Wörndl
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Papers citing
"Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems"
4 / 4 papers shown
Title
Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
Frontiers in Big Data (FBD), 2025
Peter Muellner
Anna Schreuer
Simone Kopeinik
Bernhard Wieser
Dominik Kowald
FaML
149
0
0
28 Aug 2025
Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism
Ashmi Banerjee
Fitri Nur Aisyah
Fitri Nur Aisyah
Wolfgang Wörndl
Yashar Deldjoo
96
0
0
20 Aug 2025
Multi-Interest Recommendation: A Survey
Zihao Li
Qiang Chen
Lixin Zou
Aixin Sun
Chenliang Li
AI4TS
143
0
0
18 Jun 2025
A User Interface Study on Sustainable City Trip Recommendations
Ashmi Banerjee
Tunar Mahmudov
Wolfgang Wörndl
109
2
0
18 May 2024
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