activity
20162026
most citedFairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

192 citations · 336 across the 18 of their papers we have counts for

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8 papers · 1 filter

cs.AI2025

AgroAskAI: A Multi-Agentic AI Framework for Supporting Smallholder Farmers' Enquiries Globally

Nadine Angela Cantonjos, Arpita Biswas

Agricultural regions in rural areas face damage from climate-related risks, including droughts, heavy rainfall, and shifting weather patterns. Prior research calls for adaptive ris…

cs.AI2023

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks

Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz +2

Motivated by applications such as machine repair, project monitoring, and anti-poaching patrol scheduling, we study intervention planning of stochastic processes under resource con…

cs.AI2022

Ranked Prioritization of Groups in Combinatorial Bandit Allocation

Lily Xu, Arpita Biswas, Fei Fang +1

Preventing poaching through ranger patrols protects endangered wildlife, directly contributing to the UN Sustainable Development Goal 15 of life on land. Combinatorial bandits have…

cs.AI2020★ 4 cited

COVID-19: Strategies for Allocation of Test Kits

Arpita Biswas, Shruthi Bannur, Prateek Jain +1

With the increasing spread of COVID-19, it is important to systematically test more and more people. The current strategy for test-kit allocation is mostly rule-based, focusing on…

cs.AI2020★ 192 cited

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Gourab K Patro, Arpita Biswas, Niloy Ganguly +2

We investigate the problem of fair recommendation in the context of two-sided online platforms, comprising customers on one side and producers on the other. Traditionally, recommen…

cs.AI2019★ 2 cited

Quantifying Infra-Marginality and Its Trade-off with Group Fairness

Arpita Biswas, Siddharth Barman, Amit Deshpande +1

In critical decision-making scenarios, optimizing accuracy can lead to a biased classifier, hence past work recommends enforcing group-based fairness metrics in addition to maximiz…

cs.AI2016★ 24 cited

Demand Prediction and Placement Optimization for Electric Vehicle Charging Stations

Ragavendran Gopalakrishnan, Arpita Biswas, Alefiya Lightwala +3

Effective placement of charging stations plays a key role in Electric Vehicle (EV) adoption. In the placement problem, given a set of candidate sites, an optimal subset needs to be…

cs.AI2016★ 9 cited

Managing Overstaying Electric Vehicles in Park-and-Charge Facilities

Arpita Biswas, Ragavendran Gopalakrishnan, Partha Dutta

With the increase in adoption of Electric Vehicles (EVs), proper utilization of the charging infrastructure is an emerging challenge for service providers. Overstaying of an EV aft…