Jorge Castro, Rosa María Rodríguez, Manuel José BarrancoWeighting of Features in Content-Based Filtering with Entropy and Dependence Measures
International Journal of Computational Intelligence Systems, vol. 7. Taylor and Francis, pp. 80-89, 2014.
Carlos Porcel, J.M. Morales, M.J Cobo, A.A Ruíz, Enrique Herrera-ViedmaAn Improved Recommender System to Avoid the Persistent Information Overload in a University Digital Library
Control and Cybernetics-ICAE journal. Special Issue, vol. 39. Polish Academy of Sciences, 2010.
Carlos Porcel, Enrique Herrera-Viedma, Juan Manuel MorenoA Multi-disciplinar Recommender System to Advice Research Resources in University Digital Libraries
Expert Systems with Applications, vol. 36. PERGAMON-ELSEVIER SCIENCE LTD, pp. 12520-12528, 2009.
Carlos Porcel, A.G López, Enrique Herrera-ViedmaA Recommender System for Research Resources based on Fuzzy Linguistic Modeling
Expert Systems with Applications, vol. 36. PERGAMON-ELSEVIER SCIENCE LTD., pp. 5173-5183, 2009.
Luis Martínez, Luis Gonzaga Pérez, Manuel José Barranco, Macarena EspinillaImproving The Effectiveness of Knowledge Based Recommender Systems Using Incomplete Linguistic Preference Relations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS) special issue: Fuzzy Approaches in Preference Modelling, Decision Making and Applications, vol. 16. World Scientific, pp. 33-56, 2008.