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This project uses the MovieLens 32M and MovieLens 1B Synthetic Datasets to demonstrate an advanced recommendation system developed for a media streaming platform (inspired by Netflix). The system employs a hybrid approach that combines collaborative filtering, content‑based filtering, and graph‑based recommendation to provide personalized movie suggestions.

NineRec is a TransRec dataset suite that includes a large-scale source-domain recommendation dataset and nine different target-domain recommendation datasets. Each item is accompanied by descriptive text and a high-resolution cover image.