research
∙
04/01/2022
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms
Related Item Recommendations (RIRs) are ubiquitous in most online platfo...
share
research
∙
02/08/2022
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers
In traditional (desktop) e-commerce search, a customer issues a specific...
research
∙
11/17/2021
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Computer vision applications like automated face detection are used for ...
research
∙
01/30/2021
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
Algorithmic recommendations mediate interactions between millions of cus...
research
∙
01/29/2021
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization
With the surge in user-generated textual information, there has been a r...
research
∙
01/02/2021
Mining the online infosphere: A survey
The evolution of AI-based system and applications had pervaded everyday ...
research
∙
02/07/2019
A Network-centric Framework for Auditing Recommendation Systems
To improve the experience of consumers, all social media, commerce and e...
research
∙
10/22/2018
Fairness-Preserving Text Summarzation
As the amount of textual information grows rapidly, text summarization a...
research
∙
10/22/2018
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries
As the amount of textual information grows rapidly, text summarization a...
research
∙
10/25/2016