Nicolas Hug

Surprise: A Python library for recommender systems

Nicolas Hug, Nicolas Hug, 2020, J. Open Source Softw..

Analogy in recommendation. Numerical vs. ordinal: A discussion

Gilles Richard, Mathieu Serrurier, Henri Prade, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Analogical proportion-based methods for recommendation - First investigations

Gilles Richard, Mathieu Serrurier, Henri Prade, 2019, Fuzzy Sets Syst..

Contributions to the use of analogical proportions for machine learning : theoretical properties and application to recommendation. (Contributions à l'usage des proportions analogiques pour l'apprentissage artificiel : propriétés théoriques et application à la recommandation)

Nicolas Hug, N. Hug, 2017 .

Analogy-preserving functions: A way to extend Boolean samples

Gilles Richard, Henri Prade, Miguel Couceiro, 2017, IJCAI.

Experimenting Analogical Reasoning in Recommendation

Gilles Richard, Henri Prade, Nicolas Hug, 2015, ISMIS.

Analogical Classifiers: A Theoretical Perspective

Gilles Richard, Mathieu Serrurier, Henri Prade, 2016, ECAI.

Behavior of Analogical Inference w.r.t. Boolean Functions

Gilles Richard, Henri Prade, Miguel Couceiro, 2018, IJCAI.