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• Large Language Models as Data Augmenters for Cold-Start Item Recommendation
  2024 · 38 citations
• Top-K Off-Policy Correction for a REINFORCE Recommender System
  2018 · 10 citations
• Online Matching: A Real-time Bandit System for Large-scale Recommendations
  2023 · 9 citations
• LLMs for User Interest Exploration in Large-scale Recommendation Systems
  2024 · 9 citations
• Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
  2023 · 4 citations
• Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
  2021 · 2 citations
• Reward Shaping for User Satisfaction in a REINFORCE Recommender
  2022 · 2 citations
• User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
  2025 · 1 citations
• Recency Dropout for Recurrent Recommender Systems
  2022 · 1 citations
• Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
  2023 · 1 citations
• LLM-Based User Personas for Recommendations at Scale
  2026
• Can Explanations Improve Recommendations? A Joint Optimization with LLM Reasoning
  2025
• Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
  2024
• Latent User Intent Modeling for Sequential Recommenders
  2022