All Stories

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