activity
20172022
most citedWhen the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces

4 citations · 8 across the 8 of their papers we have counts for

collaborators

14 papers

cs.SI20222 cited

These Deals Won't Last! Longevity, Uniformity and Bias in Product Badge Assignment in E-Commerce Platforms

Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty

Product badges are ubiquitous in e-commerce platforms, acting as effective psychological triggers to nudge customers to buy specific products, boosting revenues. However, to the be…

cs.HC20222 cited

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction

Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty +2

Recently, almost all conferences have moved to virtual mode due to the pandemic-induced restrictions on travel and social gathering. Contrary to in-person conferences, virtual conf…

cs.IR2022

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

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +2

Related Item Recommendations (RIRs) are ubiquitous in most online platforms today, including e-commerce and content streaming sites. These recommendations not only help users compa…

cs.HC2022

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

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +2

In traditional (desktop) e-commerce search, a customer issues a specific query and the system returns a ranked list of products in order of relevance to the query. An increasingly…

cs.CY20214 cited

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

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +2

Algorithmic recommendations mediate interactions between millions of customers and products (in turn, their producers and sellers) on large e-commerce marketplaces like Amazon. In…

cs.IR2021

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

Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty +2

With the surge in user-generated textual information, there has been a recent increase in the use of summarization algorithms for providing an overview of the extensive content. Tr…