137 citations · 137 across the 6 of their papers we have counts for
6 papers
RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents
Imad Aouali, Flavian Vasile, Otmane Sakhi +2
LLM recommendation agents increasingly produce structured recommendation reports: sets of items accompanied by natural-language justifications. Yet existing evaluations often reduc…
Confounding is a Pervasive Problem in Real World Recommender Systems
Alexander Merkov, David Rohde, Alexandre Gilotte +1
Unobserved confounding arises when an unmeasured feature influences both the treatment and the outcome, leading to biased causal effect estimates. This issue undermines observation…
Offline Contextual Bandit with Counterfactual Sample Identification
Alexandre Gilotte, Otmane Sakhi, Imad Aouali +1
In production systems, contextual bandit approaches often rely on direct reward models that take both action and context as input. However, these models can suffer from confounding…
A pragmatic policy learning approach to account for users' fatigue in repeated auctions
Benjamin Heymann, Rémi Chan--Renous-Legoubin, Alexandre Gilotte
Online advertising banners are sold in real-time through auctions.Typically, the more banners a user is shown, the smaller the marginalvalue of the next banner for this user is. Th…
Repeated Bidding with Dynamic Value
Benjamin Heymann, Alexandre Gilotte, Rémi Chan-Renous
We consider a repeated auction where the buyer's utility for an item depends on the time that elapsed since his last purchase. We present an algorithm to build the optimal bidding…
Offline A/B testing for Recommender Systems
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec +2
Before A/B testing online a new version of a recommender system, it is usual to perform some offline evaluations on historical data. We focus on evaluation methods that compute an…