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Abhisek Dash
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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
212019
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
152021
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
102019
Image clustering without ground truth
A Dash, S Chatterjee, T Prasad, M Bhattacharyya
arXiv preprint arXiv:1610.07758, 2016
62016
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
2022
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
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
2022
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
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
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
2020
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
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