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Development of a recommendation system for decision support in geosciences

François Meunier 1, 2 Christophe Marsala 1 Laurent Castanie 2 
1 LFI - Learning, Fuzzy and Intelligent systems
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : A geological study requires time and data. Currently, about 40% of study duration is spent looking for information. If a user already knows what data he needs, the current search systems can usually provide it. So we believe that these 40% are not only devoted to searching what the user is already aware of, but most likely retrieving data which usefulness and/or existence is not necessarily known. As a result, our aim is to facilitate access to the later so as to reduce the 40% of the overall time spent looking for information. We assume that this information is accessible and available in databases. This will be achieved through the creation of a new recommendation system adapted to our constraints.
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Submitted on : Monday, September 19, 2016 - 11:47:43 AM
Last modification on : Sunday, June 26, 2022 - 9:43:31 AM


  • HAL Id : hal-01368231, version 1


François Meunier, Christophe Marsala, Laurent Castanie. Development of a recommendation system for decision support in geosciences. MATHIAS – TOTAL Symposium on Mathematics, Oct 2015, Paris, France. ⟨hal-01368231⟩



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