Bouneffouf Djallel, Machine learning scientist at Orange labs

Bouneffouf Djallel

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My main research interest is in the old goal of Artificial Intelligence (AI) which is building autonomous system that can learn to be broadly competent in dynamic and uncertain environments. The field of reinforcement learning (RL) has focused on this goal, which is different from supervised learning in that correct input/output pairs are never presented. Further, there is a focus on online performance, which involves finding a balance between exploration (exploring action for increasing the knowledge about the environment) and exploitation (of current knowledge).

recommender system; machine learning; exploration/ hybrid-e-greedy recommender systems bandit algorithm exploration exploitation context-aware recommender system temporal inference question answering system information retrieval. recognizing of textual entailment natural language processing inf茅rence temporelle recherche d鈥焛nformation reconnaissance d鈥焛nf茅rence textuelle syst猫me question r茅ponse traitement du langage naturel evolution user intrest learning; inference engine; ubiquitous ;recommende l鈥檃pprentissage automatique; l鈥檃daptation des recommender system; context mobile; machine learning; exploration/exploitation