All Stories

  1. Country-diverted experiments for mitigation of network effects
  2. LLMs for User Interest Exploration in Large-scale Recommendation Systems
  3. Serving Large User Sequence Models in Large Scale Applications
  4. Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System
  5. Multi-Task Neural Linear Bandit for Exploration in Recommender Systems
  6. Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems
  7. Long-Term Value of Exploration: Measurements, Findings and Algorithms
  8. Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation
  9. Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders