Researchers have introduced KuaiLive, a new real-time dataset designed to advance research in live streaming recommendation systems. Collected from Kuaishou, a major Chinese live streaming platform, the dataset spans 21 days and includes interaction logs from over 23,000 users and 450,000 streamers. KuaiLive features precise timestamps, diverse interaction types like clicks and gifts, and rich contextual information, aiming to provide a more realistic environment for developing and evaluating recommendation algorithms. AI
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IMPACT Provides a benchmark dataset to improve live streaming recommendation algorithms and user engagement strategies.
RANK_REASON Release of a new academic dataset for a specific AI task.