End-User Position-Driven Small Base Station Placement for Indoor Communication. - Anindita Kundu; Shaunak Mukherjee; Ashmi Banerjee; Subhashis Majumder (ACSS (1), 2019)

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. - Ashmi Banerjee; Gourab K. Patro; Linus W. Dietz; Abhijnan Chakraborty (IEEE BigData, 2020)

Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. - Gourab K. Patro; Abhijnan Chakraborty; Ashmi Banerjee; Niloy Ganguly (RecSys, 2020)

Fairness and Sustainability in Multistakeholder Tourism Recommender Systems. - Ashmi Banerjee (UMAP, 2023)

Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems. - Paromita Banik; Ashmi Banerjee; Wolfgang Wörndl (UMAP (Adjunct Publication), 2023)

Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems. - Ashmi Banerjee; Paromita Banik; Wolfgang Wörndl (CoRR, 2023)

Green Destination Recommender: A Web Application to Encourage Responsible City Trip Recommendations. - Ashmi Banerjee; Tunar Mahmudov; Wolfgang Wörndl (UMAP (Adjunct Publication), 2024)

Modeling Sustainable City Trips: Integrating CO2 Emissions, Popularity, and Seasonality into Tourism Recommender Systems. - Ashmi Banerjee; Tunar Mahmudov; Emil Adler; Fitri Nur Aisyah; Wolfgang Wörndl (CoRR, 2024)

A User Interface Study on Sustainable City Trip Recommendations. - Ashmi Banerjee; Tunar Mahmudov; Wolfgang Wörndl (CoRR, 2024)

Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation. - Ashmi Banerjee; Adithi Satish; Wolfgang Wörndl (CoRR, 2024)

A review on individual and multistakeholder fairness in tourism recommender systems. - Ashmi Banerjee; Paromita Banik; Wolfgang Wörndl (Frontiers Big Data, 2024)

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders. - Ashmi Banerjee; Adithi Satish; Fitri Nur Aisyah; Wolfgang Wörndl; Yashar Deldjoo (SIGIR, 2025)

LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization. - Thomas Elmar Kolb; Ashmi Banerjee; Ahmadou Wagne; Julia Neidhardt; Yashar Deldjoo (UMAP (Adjunct Publication), 2025)

Modeling sustainable city trips: integrating CO2 e emissions, popularity, and seasonality into tourism recommender systems. - Ashmi Banerjee; Tunar Mahmudov; Emil Adler; Fitri Nur Aisyah; Wolfgang Wörndl (J. Inf. Technol. Tour., 2025)

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders. - Ashmi Banerjee; Adithi Satish; Fitri Nur Aisyah; Wolfgang Wörndl; Yashar Deldjoo (CoRR, 2025)