18 citations · 70 across the 12 of their papers we have counts for
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cs.IR2021
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…
cs.HC2021★ 5 cited
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…