18 citations · 70 across the 12 of their papers we have counts for
14 papers
FEBR: Expert-Based Recommendation Framework for beneficial and personalized content
Mohamed Lechiakh, Alexandre Maurer
So far, most research on recommender systems focused on maintaining long-term user engagement and satisfaction, by promoting relevant and personalized content. However, it is still…
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments
Lê-Nguyên Hoang, Louis Faucon, Aidan Jungo +13
Today's large-scale algorithms have become immensely influential, as they recommend and moderate the content that billions of humans are exposed to on a daily basis. They are the d…
Gathering with extremely restricted visibility
Rachid Guerraoui, Alexandre Maurer
We consider the classical problem of making mobile processes gather or converge at a same position (as performed by swarms of animals in Nature). Existing works assume that each pr…
Limiting the Spread of Fake News on Social Media Platforms by Evaluating Users' Trustworthiness
Oana Balmau, Rachid Guerraoui, Anne-Marie Kermarrec +3
Today's social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such "fake" news based on thei…
Removing Algorithmic Discrimination (With Minimal Individual Error)
El Mahdi El Mhamdi, Rachid Guerraoui, Lê Nguyên Hoang +1
We address the problem of correcting group discriminations within a score function, while minimizing the individual error. Each group is described by a probability density function…
Virtuously Safe Reinforcement Learning
Henrik Aslund, El Mahdi El Mhamdi, Rachid Guerraoui +1
We show that when a third party, the adversary, steps into the two-party setting (agent and operator) of safely interruptible reinforcement learning, a trade-off has to be made bet…