• A Predictive System Informed by Students’ Similar Behaviour 

      Burgos, Daniel (Sustainability, 2020)
      It is quite complex to adapt instruction to student needs in view of online education owing to the ensuing communication disconnection in such learning environments. Decision support schemes offer assistance by automatically ...
    • A recommender system based on implicit feedback for selective dissemination of ebooks 

      Núñez-Valdez, Edward Rolando; Quintana, David; González-Crespo, Rubén ; Isasi, Pedro; Herrera-Viedma, Enrique (Information Sciences, 10/2018)
      In this study, we describe a recommendation system for electronic books. The approach is based on implicit feedback derived from user's interaction with electronic content. User's behavior is tracked through several ...
    • Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision 

      Fernández-García, Antonio Jesús ; Rodríguez-Echeverría, Roberta; Preciado, Juan Carlos; Conejero Manzano, José María; Sánchez-Figueroa, Fernando (IEEE Access, 2020)
      Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ...
    • Mining Social and Affective Data for Recommendation of Student Tutors 

      Boff, Elisa; Reategui, Eliseo Berni (03/2013)
      This paper presents a learning environment where a mining algorithm is used to learn patterns of interaction with the user and to represent these patterns in a scheme called item descriptors. The learning environment ...
    • Sistema recomendador en tiempo real para ofertas comerciales en el sector bancario 

      Alvarado-Dueñas, Gustavo Andrés (07/2022)
      En los últimos años ha habido un aumento en el uso de sistemas recomendadores fuera de las industrias tradicionales como el comercio electrónico o el entretenimiento. Tal es el caso del sector bancario donde existen numerosas ...