Experimenting Analogical Reasoning in Recommendation. - Nicolas Hug; Henri Prade; Gilles Richard (ISMIS, 2015)

Analogical Classifiers: A Theoretical Perspective. - Nicolas Hug; Henri Prade; Gilles Richard; Mathieu Serrurier (ECAI, 2016)

Analogy in recommendation. Numerical vs. ordinal: A discussion. - Nicolas Hug; Henri Prade; Gilles Richard; Mathieu Serrurier (FUZZ-IEEE, 2016)

Analogy-preserving functions: A way to extend Boolean samples. - Miguel Couceiro; Nicolas Hug; Henri Prade; Gilles Richard (IJCAI, 2017)

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 (2017)

Behavior of Analogical Inference w.r.t. Boolean Functions. - Miguel Couceiro; Nicolas Hug; Henri Prade; Gilles Richard (IJCAI, 2018)

Analogical proportion-based methods for recommendation - First investigations. - Nicolas Hug; Henri Prade; Gilles Richard; Mathieu Serrurier (Fuzzy Sets Syst., 2019)

Surprise: A Python library for recommender systems. - Nicolas Hug (J. Open Source Softw., 2020)