Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries
Metadatos
Afficher la notice complèteAuteur
Tejeda Lorente, Álvaro; Bernabé Moreno, Juan; Porcel Gallego, Carlos Gustavo; Herrera Viedma, EnriqueEditorial
Elsevier
Materia
Recommender system Item quality University digital library Fuzzy linguistic modeling
Date
2014Referencia bibliográfica
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]
Patrocinador
Projects TIN2010-17876, TIC5299 y TIC-5991Résumé
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.