ISWC Poster

The slides used for the ISWC 2021 Poster session can be found here.

FREx - A Framework for Recommendations with Explanations

FREx (Framework for Recommendations with Explanations) is a Python package created to support the development of recommender systems, particularly those that (1) use knowledge-driven processes, (2) utilize RDF data sources, and (3) want to provide users with explanations about why the final recommendation was given to them.

This website documents some of the key features and motivations of FREx, as well as a simple walkthrough to get started with using it in a new project.

We also present two implementation examples of of recommender systems, for the domains of healthy food recommendation and university course recommendation.