Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries Tejeda Lorente, Álvaro Bernabé Moreno, Juan Porcel Gallego, Carlos Gustavo Herrera Viedma, Enrique Recommender system Item quality University digital library Fuzzy linguistic modeling Recommender systems can be used in an academic environment to assist users in their decision making processes to find relevant information. In the literature we can find proposals based in user’ profile or in item’ profile, however they do not take into account the quality of items. In this work we propose the combination of item’ relevance for a user with its quality in order to generate more profitable and accurate recommendations. The system measures item quality and takes it into account as new factor in the recommendation process. We have developed the system adopting a fuzzy linguistic approach. 2020-12-22T10:26:41Z 2020-12-22T10:26:41Z 2014 info:eu-repo/semantics/conferenceObject Tejeda-Lorente, A., Bernabé-Moreno, J., Porcel, C., & Herrera-Viedma, E. (2014). Integrating quality criteria in a fuzzy linguistic recommender system for digital libraries. Procedia Computer Science, 31, 1036-1043. [https://doi.org/10.1016/j.procs.2014.05.357] http://hdl.handle.net/10481/65094 10.1016/j.procs.2014.05.357 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Elsevier