Ashmi Banerjee

According to our database, Ashmi Banerjee authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, April, 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., March, 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

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders.

Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah, Wolfgang Wörndl, Yashar Deldjoo

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

A review on individual and multistakeholder fairness in tourism recommender systems.

Ashmi Banerjee, Paromita Banik, Wolfgang Wörndl

Frontiers Big Data, 2024

Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation.

Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl

CoRR, 2024

A User Interface Study on Sustainable City Trip Recommendations.

Ashmi Banerjee, Tunar Mahmudov, Wolfgang Wörndl

CoRR, 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

Green Destination Recommender: A Web Application to Encourage Responsible City Trip Recommendations.

Ashmi Banerjee, Tunar Mahmudov, Wolfgang Wörndl

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2023

Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems.

Ashmi Banerjee, Paromita Banik, Wolfgang Wörndl

CoRR, 2023

Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems.

Paromita Banik, Ashmi Banerjee, Wolfgang Wörndl

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Fairness and Sustainability in Multistakeholder Tourism Recommender Systems.

Ashmi Banerjee

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

2020

Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World.

Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.

Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

End-User Position-Driven Small Base Station Placement for Indoor Communication.

Anindita Kundu, Shaunak Mukherjee, Ashmi Banerjee, Subhashis Majumder

Proceedings of the Advanced Computing and Systems for Security, 2019