KuaiLive Dataset Released for Live Streaming Recommendation Research
KuaiLive has been introduced by researchers as the inaugural real-time interactive dataset for live streaming recommendations, sourced from Kuaishou, a prominent Chinese platform boasting more than 400 million daily active users. This dataset captures interaction logs from 23,772 users and 452,621 streamers over a span of 21 days. It seeks to fill the void in publicly accessible data that mirrors the ever-changing landscape of live streaming, which varies from conventional recommendation environments due to its fluid content and immediate interactions. The dataset is designed to connect the interests of the industry with advancements in academic research.
Key facts
- KuaiLive is the first real-time, interactive dataset for live streaming recommendation.
- Data collected from Kuaishou, a leading live streaming platform in China.
- Kuaishou has over 400 million daily active users.
- Dataset includes interaction logs of 23,772 users and 452,621 streamers.
- Data spans a 21-day period.
- Live streaming recommendation faces unique challenges due to dynamic content and real-time interactions.
- Previous lack of public datasets hindered academic research in this area.
- KuaiLive aims to support further research in live streaming recommendation.
Entities
Institutions
- Kuaishou
Locations
- China