KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
Source
- Raw Markdown: paper_kuairand-2022.md
- PDF: paper_kuairand-2022.pdf
Core Claim
KuaiRand provides sequential recommendation logs with randomly exposed videos, making action exposure less confounded than ordinary recommender logs.
Action-Time-Series Notes
- The time-series unit is a user interaction sequence over recommended/exposed videos and feedback signals.
- The action is the item/video exposure; feedback signals are response observations or rewards.
- It is much more suitable for action-response user models than one-step ad-click logs.