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Technical University of Munich
Technical University of Munich

Ashmi Banerjee, M.Sc.

Email: ashmi.banerjee[at]tum[dot]de
Office: 01.05.053
Website: ashmibanerjee.com

Address:

 

TUM School of Computation, Information and Technoloy
Department of Computer Engineering
Chair of Connected Mobility (|11)
Boltzmannstr. 3
85748 Garching

I am a Ph.D. candidate at the Chair of Connected Mobility at the Technical University of Munich (TUM), from where I also obtained my M.Sc. in Informatics in 2019. 

Research Interests

  • Multistakeholder Recommender Systems
  • Human-Computer Interaction
  • Data Mining, Information Retrieval
  • Machine Learning
  • Fairness & Responsible Recommendations

I am working together with Dr. Wolfgang Wörndl.

Teaching

Theses Topics

When applying for a topic please follow the guidelines from here.
The thesis students starter pack for (potential) students supervised by me can be found here.

Legend: [BT] = Bachelor Thesis; [MT] = Master Thesis;  [GR] = Guided Research; [AP] = Application Project

Got a thesis topic in mind that aligns with my research? Let me know!
Other theses and research topics are listed here. 

Completed:

  • [MT]: Explaining Fairness in Multi-stakeholder Recommender Systems for Tourism
  • [BT]: User Interfaces for Combining Multiple Items in Tourism Recommender Systems
  • [MT]: An analysis of long-distance train delays and impacted stations in Germany
  • [BT]: Exploring Data-Driven Approaches for Train Delay Prediction using Multivariate Models and Machine Learning Techniques
  • [GR]: Multi-objective Optimization for Fairness in Tourism Recommender Systems
  • [MT]: User Traits and Responsible Travel Decision-Making in Recommender Systems
  • [MT]: Evaluating User Decision-Making in Responsible Tourism: A Green Destination Recommender
  • [MT]: Exploring Substitution Recommendations: A Literature Review and Analysis
  • [BT/MT]: Design and Development of a Web Frontend for Sustainable Hike Recommendations

In Progress:

  • [GR]: Analyzing Responsibility Features in Tourism
  • [BT]: Analyzing Mobility Trends for Travel Behavior, Preferences, and Sustainability Concerns
  • [MT]: Dynamic Playlist Generation for Hikers: An Intelligent Recommender System Using Trail Characteristics and Contextual Data
  • [GR]: Enhancing Sustainable Travel  Recommendations Using Retrieval-Augmented Generation

Recent Publications

An updated list of publications can be found on Google Scholar.

2023

  • [Workshop Position Paper]
    Ashmi Banerjee, Paromita Banik, and Wolfgang Wörndl, 2023. Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems. In Proceedings of the 6th FAccTRec Workshop on Responsible Recommendation (FAccTRec `23) co-located with the 16th ACM Conference on Recommender Systems (RecSys), September 18-22, 2023, Singapore. ACM, New York, NY, USA.
    PDF | BibTeX
     
  • [Workshop Paper] 
    Paromita Banik, Ashmi Banerjee, and Wolfgang Wörndl. 2023. Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems. In UMAP ’23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’23 Adjunct), June 26–29, 2023, Limassol, Cyprus. ACM, New York, NY, USA, 8 pages. 
    PDF  | BibTeX
     
  • [Doctoral Consortium]
    Ashmi Banerjee. 2023. Fairness and Sustainability in Multistakeholder Tourism Recommender Systems. In UMAP ’23: Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’23), June 26–29, 2023, Limassol, Cyprus. ACM, New York, NY, USA, 6 pages.
    PDF  | BibTeX
     
  • [Journal Paper]
    Banerjee, A    ., Banik, P., & Wörndl, W. A Review on Individual and Multistakeholder Fairness in Tourism Recommender Systems. Frontiers in Big Data, 6. 
    PDF  | BibTeX

2020

Miscellaneous

  • [Since 2023] Organisation Committee, ACM Women in RecSys Chapter
  • [Since 2023] Machine Learning GDE, Google Developer Expert
  • [Since 2022] Global Ambassador, Google Women Techmakers
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