1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2024
Multi-Objective Recommendation via Multivariate Policy Learning
Olivier Jeunen, Jatin Mandav, Ivan Potapov +4
Real-world recommender systems often need to balance multiple objectives when deciding which recommendations to present to users. These include behavioural signals (e.g. clicks, sh…
cs.IR2023★ 1 cited
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- Recommendation
Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko
Approaches to recommendation are typically evaluated in one of two ways: (1) via a (simulated) online experiment, often seen as the gold standard, or (2) via some offline evaluatio…