Fair assortment planning

Q Chen, N Golrezaei, F Susan - arXiv preprint arXiv:2208.07341, 2022 - arxiv.org
Many online platforms, ranging from online retail stores to social media platforms, employ
algorithms to optimize their offered assortment of items (eg, products and contents). These …

Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions

J Khan, K Ahmad, SK Jagatheesaperumal… - arXiv preprint arXiv …, 2024 - arxiv.org
In the modern world, our cities and societies face several technological and societal
challenges, such as rapid urbanization, global warming & climate change, the digital divide …

A multidisciplinary framework for deconstructing bots' pluripotency in dualistic antagonism

W Xu, K Sasahara, J Chu, B Wang, W Fan… - arXiv preprint arXiv …, 2024 - arxiv.org
Anthropomorphic social bots are engineered to emulate human verbal communication and
generate toxic or inflammatory content across social networking services (SNSs). Bot …

On the Interplay of Transparency and Fairness in AI-Informed Decision-Making

J Schöffer - 2023 - publikationen.bibliothek.kit.edu
Using artificial intelligence (AI) systems for informing high-stakes decisions has become
increasingly pervasive in a variety of domains, including but not limited to hiring, lending, or …

[图书][B] Information and Fairness in Resource Allocation Problems

F Monachou - 2022 - search.proquest.com
Abstract Information is an orchestrating component in many operational settings, from supply
chains to online platforms to decision-making algorithms. For example, online marketplaces …

[PDF][PDF] agenda examines the bidirectional relationship between algorithm design and decision-making

S Loss - jessiefin.com
In supervised machine learning, empirical risk minimization is the dominant paradigm for
learning from data. Therein, one learns to predict by minimizing a surrogate loss function L …