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20202026
most citedTowards Individual and Multistakeholder Fairness in Tourism Recommender Systems

32 citations · 73 across the 9 of their papers we have counts for

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cs.AI2026

Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop

Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl +1

Evaluating nuanced conversational travel recommendations is challenging when human annotations are costly and standard metrics ignore stakeholder-centric goals. We study LLMs-as-Ju…

cs.IR2026

TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations

Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl +1

Traditional conversational travel recommender systems primarily optimize for user relevance and convenience, often reinforcing popular, overcrowded destinations and carbon-intensiv…