32 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.IR2025★ 4 cited
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,…
cs.IR2023★ 32 cited
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…
cs.IR2023★ 2 cited
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…