Ashmi Banerjee

Orcid: 0000-0002-4217-3888

According to our database1, Ashmi Banerjee authored at least 25 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations.
CoRR, April, 2026

LLM4Good: The 2nd Workshop on Sustainable and Trustworthy Large Language Models for Personalization.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Sustainable Tourism through Locality-Aware Recommendations.
Proceedings of the Joint Proceedings of the ACM UMAP 2026 Workshops co-located with the 34th ACM Conference on User Modeling, 2026

Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Toward Agentic Reconciliation: The Case for Multi-Stakeholder Negotiation in Tourism Recommender Systems.
Proceedings of the Joint Proceedings of the ACM UMAP 2026 Workshops co-located with the 34th ACM Conference on User Modeling, 2026

2025
SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning.
CoRR, October, 2025

Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism.
CoRR, August, 2025

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders.
CoRR, April, 2025

Modeling sustainable city trips: integrating CO<sub>2</sub> e emissions, popularity, and seasonality into tourism recommender systems.
J. Inf. Technol. Tour., March, 2025

LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization.
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.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Evaluating User Intent Classification and Hybrid Retrieval in a RAG-based Conversational Tourism Recommendation System.
Proceedings of the Workshop on Recommenders in Tourism co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

A Tutorial on Recent Advances in Generative Conversational Recommender Systems.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Recommender Systems for Sustainable Development through Responsible Nudging.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
A review on individual and multistakeholder fairness in tourism recommender systems.
Frontiers Big Data, 2024

A User Interface Study on Sustainable City Trip Recommendations.
CoRR, 2024

Modeling Sustainable City Trips: Integrating CO2 Emissions, Popularity, and Seasonality into Tourism Recommender Systems.
CoRR, 2024

Green Destination Recommender: A Web Application to Encourage Responsible City Trip Recommendations.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation.
Proceedings of the Recommender Systems for Sustainability and Social Good, 2024

2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems.
CoRR, 2023

Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Fairness and Sustainability in Multistakeholder Tourism Recommender Systems.
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.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.
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.
Proceedings of the Advanced Computing and Systems for Security, 2019


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