• 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 ...
    • A survey on machine learning for recurring concept drifting data streams 

      Suárez-Cetrulo, Andrés L.; Quintana, David; Cervantes, Alejandro (Expert Systems with Applications, 2023)
      The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks affecting their generative processes. ...
    • Editor's Note 

      Golpe, Antonio A.; Isasi, Pedro; Martín Álvarez, Juan M. ; Quintana, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022)
      Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance [1]. Specifically, it has also been widely used in applications related ...
    • Improving Children's Experience on a Mobile EdTech Platform through a Recommender System 

      Ruiz-Iniesta, Almudena ; Melgar, Luis; Baldominos, Alejandro; Quintana, David (Mobile Information Systems, 2018)
      Smile and Learn is an EdTech digital publisher that offers a smart library of close to 100 educational stories and gaming apps for mobile devices aimed at children aged 2 to 10 and their families. Given the complexity of ...