4 citations · 4 across the 1 of their papers we have counts for
3 papers
SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning
Ashmi Banerjee, Melih Mert Aksoy, Wolfgang Wörndl
Tourism is a major contributor to global carbon emissions and over-tourism, creating an urgent need for recommender systems that not only inform but also gently steer users toward…
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…