107 citations · 380 across the 68 of their papers we have counts for
5 papers · 1 filter
Freshness-Aware Thompson Sampling
Djallel Bouneffouf
To follow the dynamicity of the user's content, researchers have recently started to model interactions between users and the Context-Aware Recommender Systems (CARS) as a bandit p…
A Neural Networks Committee for the Contextual Bandit Problem
Robin Allesiardo, Raphael Feraud, Djallel Bouneffouf
This paper presents a new contextual bandit algorithm, NeuralBandit, which does not need hypothesis on stationarity of contexts and rewards. Several neural networks are trained to…
Context-Based Information Retrieval in Risky Environment
Djallel Bouneffouf
Context-Based Information Retrieval is recently modelled as an exploration/ exploitation trade-off (exr/exp) problem, where the system has to choose between maximizing its expected…
Exponentiated Gradient Exploration for Active Learning
Djallel Bouneffouf
Active learning strategies respond to the costly labelling task in a supervised classification by selecting the most useful unlabelled examples in training a predictive model. Many…
R-UCB: a Contextual Bandit Algorithm for Risk-Aware Recommender Systems
Djallel Bouneffouf
Mobile Context-Aware Recommender Systems can be naturally modelled as an exploration/exploitation trade-off (exr/exp) problem, where the system has to choose between maximizing its…