CF4J 2.0 is a framework for conducting research experiments based on collaborative filtering. This framework has been designed keeping the scientific community in mind. It includes major features such as a high number of implemented algorithms from the state-of-the-art, several quality measures and parallel execution of the techniques, as well as abstract classes and interfaces to allow developers to extend and customize the library. Furthermore, this new version of the library focuses on the following key features: simple deployment of collaborative filtering experiments, reproducible science, hyper-parameter optimization, data analysis, and openness to the community as an open-source project.
https://doi.org/10.1016/j.knosys.2020.106629
About Jesús Mayor
Jesús Mayor is since 2019 a full-time lecturer and researcher in Politécnica de Madrid University. He received MS degree in Computer Science (CEU San Pablo, 2013), MS degree in Computer Graphics (U-tad, 2014) and PhD degree in Computer Science (Rey Juan Carlos University, 2020) in Madrid. His studies are focused on computer graphics and data science
- More Posts(18)
