Kwai
Emerging4papers using it
2021first seen
The 'Kwai' dataset is a benchmark used to evaluate multi-channel item-to-item retrieval systems in recommender systems, focusing on the effectiveness of trigger selection for generating candidate items based on user interactions.
Papers using Kwai (4)
- CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item RetrievalEnhancing Live Broadcast Engagement: A Multi-modal Approach to Short Video Recommendations Using MMGCN and User PreferencesExploring Lottery Ticket Hypothesis in Media Recommender SystemsEnhancing Playback Performance in Video Recommender Systems with an
On-Device Gating and Ranking Framework