32 citations · 75 across the 8 of their papers we have counts for
8 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…
Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism
Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah +2
We propose COLLAB-REC, a multi-agent framework designed to counteract popularity bias and improve diversity in tourism recommendations. In our setup, three LLM-based agents(Persona…
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…
A User Interface Study on Sustainable City Trip Recommendations
Ashmi Banerjee, Tunar Mahmudov, Wolfgang Wörndl
The importance of promoting sustainable and environmentally responsible practices is becoming increasingly recognized in all domains, including tourism. The impact of tourism exten…
Modeling Sustainable City Trips: Integrating CO2e Emissions, Popularity, and Seasonality into Tourism Recommender Systems
Ashmi Banerjee, Tunar Mahmudov, Emil Adler +2
Tourism affects not only the tourism industry but also society and stakeholders such as the environment, local businesses, and residents. Tourism Recommender Systems (TRS) can be p…
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems
Ashmi Banerjee, Paromita Banik, Wolfgang Wörndl
This position paper summarizes our published review on individual and multistakeholder fairness in Tourism Recommender Systems (TRS). Recently, there has been growing attention to…
Dynamic Adaptation of User Preferences and Results in a Destination Recommender System
Asal Nesar Noubari, Wolfgang Wörndl
Studying human factors has gained a lot of interest in recommender systems research recently. User experience plays a vital role in tourism recommender systems since user satisfact…