4 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders
Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah +2
Tourism Recommender Systems (TRS) are crucial in personalizing travel experiences by tailoring recommendations to users' preferences, constraints, and contextual factors. However,…
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation
Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl
Tourism Recommender Systems (TRS) have traditionally focused on providing personalized travel suggestions, often prioritizing user preferences without considering broader sustainab…