Datasets › KuaiRec

KuaiRec

Introduced by Chongming Gao et al. in KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems22 Feb 2022 archive 2025-07-28

KuaiRec is a real-world dataset collected from the recommendation logs of the video-sharing mobile app Kuaishou. For now, it is the first dataset that contains a fully observed user-item interaction matrix. For the term “fully observed”, we mean there are almost no missing values in the user-item matrix, i.e., each user has viewed each video and then left feedback.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 51 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-SA 4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • KuaiRec

1 variant name, as the archive lists them.

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