Source code of a graph-based recommendation framework relying on Linked Open Data. The framework implements PageRank with Priors and integrates several features selection techniques to automatically feed the graph-based representation with the most relevant features extracted from the Linked Open Data cloud.
The code also includes Python scripts to execute the complete pipeline consisting of: graph building, feature selection, recommendation generation, evaluation and statistical tests in R.