2 papers
cs.CY2018
Balanced News Using Constrained Bandit-based Personalization
Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi +1
We present a prototype for a news search engine that presents balanced viewpoints across liberal and conservative articles with the goal of de-polarizing content and allowing users…
cs.LG2018
An Algorithmic Framework to Control Bias in Bandit-based Personalization
L. Elisa Celis, Sayash Kapoor, Farnood Salehi +1
Personalization is pervasive in the online space as it leads to higher efficiency and revenue by allowing the most relevant content to be served to each user. However, recent studi…