If you are new to Cornac, the Getting Started tutorials are a good beginning point to learn how to use the framework. There is also a rich collection of examples on how to use specific models, run your evaluation on an existing data split, etc.
One important aspect of Cornac is broadening the use cases of existing recommendation algorithms, by enabling seamless cross-modality transformations, e.g., from visual or textual features to graph. This is of great interest as, for instance, the modality a given model is designed for may not always be available. Tutorials within this section elaborate more on this aspect by describing concrete end-to-end use cases.