All Stories

  1. Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
  2. Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
  3. Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
  4. Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
  5. Scenario Shared Instance Modeling for Click-through Rate Prediction
  6. Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
  7. Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
  8. OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
  9. Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
  10. MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
  11. Optimizing Feature Set for Click-Through Rate Prediction
  12. OptEmbed