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Abhisek Dash
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2020 – today
- 2024
- [j5]Abhisek Dash
, Abhijnan Chakraborty
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-31 (2024) - [c6]Cai Yang
Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction. WebSci (Companion) 2024: 51-52 - [i14]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter
Antitrust, Amazon, and Algorithmic Auditing. CoRR abs/2403.18623 (2024) - [i13]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR abs/2407.01732 (2024) - [i12]Siddharth D. Jaiswal, Abhisek Dash, Nitika Shroff, Yashwanth Babu Vunnam, Saptarshi Ghosh, Animesh Mukherjee:
Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages. CoRR abs/2407.14650 (2024) - [i11]Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. CoRR abs/2407.15810 (2024) - [i10]Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR abs/2407.19099 (2024) - 2023
- [j4]Abhisek Dash
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023) - 2022
- [j3]Mithun Das, Abhisek Dash
Platform Governance: Past, Present and Future. GetMobile Mob. Comput. Commun. 26(1): 14-20 (2022) - [j2]Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash
Mining the online infosphere: A survey. WIREs Data Mining Knowl. Discov. 12(5) (2022) - [c5]Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. ICWSM 2022: 381-392 - [c4]Abhisek Dash
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW 2022: 3695-3705 - [i9]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR abs/2202.03934 (2022) - [i8]Abhisek Dash
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR abs/2204.00241 (2022) - 2021
- [c3]Abhisek Dash
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT 2021: 873-884 - [i7]Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
Mining the online infosphere: A survey. CoRR abs/2101.00454 (2021) - [i6]Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. CoRR abs/2101.12406 (2021) - [i5]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR abs/2102.00141 (2021) - [i4]Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee:
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. CoRR abs/2111.09137 (2021) - 2020
- [c2]Anurag Shandilya, Abhisek Dash
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. IEEE BigData 2020: 3692-3701
2010 – 2019
- 2019
- [j1]Abhisek Dash
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proc. ACM Hum. Comput. Interact. 3(CSCW): 172:1-172:28 (2019) - [c1]Abhisek Dash
A Network-centric Framework for Auditing Recommendation Systems. INFOCOM 2019: 1990-1998 - [i3]Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
A Network-centric Framework for Auditing Recommendation Systems. CoRR abs/1902.02710 (2019) - 2018
- [i2]Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. CoRR abs/1810.09147 (2018) - 2016
- [i1]Abhisek Dash, Sujoy Chatterjee, Tripti Prasad, Malay Bhattacharyya:
Image Clustering without Ground Truth. CoRR abs/1610.07758 (2016)
Coauthor Index
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