Recommender systems researchers rely heavily on general-purpose libraries that facilitate data preprocessing, model training, and evaluation. However, existing frameworks often suffer from fragmented data handling, inconsistent preprocessing, limited interoperability, and poor dataset referencing, w...
Evaluation researchMachine Learning and Large Language ModelsRecommender systemsDemos