Abhisek Dash

According to our database, Abhisek Dash authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Antitrust, Amazon, and Algorithmic Auditing.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi

CoRR, 2024

2023

FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

IEEE Trans. Comput. Soc. Syst., 2023

2022

Mining the online infosphere: A survey.

Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee

WIREs Data Mining Knowl. Discov., 2022

Platform Governance: Past, Present and Future.

Mithun Das, Abhisek Dash, Siddharth D. Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukherjee

GetMobile Mob. Comput. Commun., 2022

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Two-Face: Adversarial Audit of Commercial Face Recognition Systems.

Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization.

Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries.

Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty

Proc. ACM Hum. Comput. Interact., 2019

A Network-centric Framework for Auditing Recommendation Systems.

Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries.

Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh

CoRR, 2018

2016

Image Clustering without Ground Truth.

Abhisek Dash, Sujoy Chatterjee, Tripti Prasad, Malay Bhattacharyya

CoRR, 2016