49 citations · 98 across the 15 of their papers we have counts for
19 papers
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…
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…
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Paheli Bhattacharya, Soham Poddar, Koustav Rudra +2
Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this…
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…
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…
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection
Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh +1
A large fraction of textual data available today contains various types of 'noise', such as OCR noise in digitized documents, noise due to informal writing style of users on microb…