When the umpire is also a player: Bias in private label product recommendations on e-commerce marketplaces A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 30 | 2021 |
Summarizing user-generated textual content: Motivation and methods for fairness in algorithmic summaries A Dash, A Shandilya, A Biswas, K Ghosh, S Ghosh, A Chakraborty Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-28, 2019 | 30 | 2019 |
A network-centric framework for auditing recommendation systems A Dash, A Mukherjee, S Ghosh IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1990-1998, 2019 | 11 | 2019 |
Image clustering without ground truth A Dash, S Chatterjee, T Prasad, M Bhattacharyya arXiv preprint arXiv:1610.07758, 2016 | 7 | 2016 |
Two-face: Adversarial audit of commercial face recognition systems S Jaiswal, K Duggirala, A Dash, A Mukherjee Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 5 | 2022 |
Mining the online infosphere: A survey S Adak, S Chakraborty, P Das, M Das, A Dash, R Hazra, B Mathew, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (5 …, 2022 | 1 | 2022 |
Platform Governance: Past, Present and Future M Das, A Dash, S Jaiswal, B Mathew, P Saha, A Mukerjee GetMobile: Mobile Computing and Communications 26 (1), 14-20, 2022 | 1 | 2022 |
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi Proceedings of the ACM Web Conference 2022, 3695-3705, 2022 | 1 | 2022 |
Fairness for whom? Understanding the reader’s perception of fairness in text summarization A Shandilya, A Dash, A Chakraborty, K Ghosh, S Ghosh 2020 IEEE International Conference on Big Data (Big Data), 3692-3701, 2020 | 1 | 2020 |
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi IEEE Transactions on Computational Social Systems, 2022 | | 2022 |
Supplemental Information for Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries Proceedings of ACM CSCW 2019 A Dash, A Shandhilya, A Biswas, K Ghosh, S Ghosh, A Chakraborty | | |