Go ↑
Home Research Education Experience Awards Talks           Find me on Google Scholar   Semantic Scholar   ORCID   Koo   Twitter   LinkedIn   Github  


Research

Working Papers

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi.

Published Papers

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction
Gourab K Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly.
Accepted to appear in the Thirty-first Web Conference (WWW-2022), Oral Presentation, Lyon, France.
[Dataset & Code, Slides]

Towards Fair Recommendation in Two-Sided Platforms
Gourab K Patro*, Arpita Biswas*, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty.
ACM Transactions on the Web (TWEB), Volume 16, Issue 2, May 2022, Article No. 8, Pages 1–34.
[Code]

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro, Roland Maio, Faidra Monachou, Gourab K Patro, Manish Raghavan, Ana-Andreea Stoica, Stratis Tsirtsis.
The Fourth ACM Conference on Fairness, Accountability, and Transparency (FAccT-2021).
[Slides]

Two-Sided Fairness in Non-Personalised Recommendations
Aadi Swadipto Mondal*, Rakesh Bal*, Sayan Sinha*, Gourab K Patro.
The Thirty-fifth AAAI Conference on Artificial Intelligence (AAAI-2021), Student Poster, Vancouver, Canada.
[Code, Poster]

Analyzing ‘Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval
Ashmi Banerjee, Gourab K Patro, Linus W. Dietz, Abhijnan Chakraborty.
The International Workshop on Fair and Interpretable Learning Algorithms (FILA-2020).

Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World
Gourab K Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly.
The Fourteenth ACM Conference on Recommender Systems (RecSys-2020), Oral Presentation, Virtual Event, Brazil.
[Dataset & Code, Slides, Teaser, Video]

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
Gourab K Patro*, Arpita Biswas*, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty.
The Twenty-ninth Web Conference (WWW-2020), Oral Presentation, Taipei, Taiwan.
[Code, Slides, Video]

Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi.
The Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI-2020), Oral Presentation, New York, USA.
[Slides]

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations
Abhijnan Chakraborty, Gourab K Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau.
The Second ACM Conference on Fairness, Accountability, and Transparency (FAT*-2019), Atlanta, Georgia, USA.
[Slides]