KuaiRand is an unbiased sequential recommendation dataset collected from the recommendation logs of the video-sharing mobile app, Kuaishou (快手). It is the first recommendation dataset with millions of intervened interactions of randomly exposed items inserted in the standard recommendation feeds!
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Replication datasets (200 million rows) used in experiments by Yancey & Settles (2020). (2019-06-11)
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