Recommender System
This overview outlines the Informfully Recommenders repository. It can be used in combination with the Informfully Research Platform or in a stand-alone fashion. Informfully Recommenders is an extension of Cornac. And you can look at the Tutorial Notebook for hands-on examples of everything outlined here.
The diagram above shows the extended framework Informfully Recommenders provides. It includes four dedicated stages: pre-processing, in-processing, post-processing, and evaluation. Additionally, it features a save state manager that allows the results of any stage to be stored and loaded. This allows for reusing existing data, e.g., applying different re-rankers to the same candidate list. Please find below an outline of the individual components, along with a link to their dedicated wiki pages for further information.