Recommendation


Recommendation is the task of providing personalized suggestions to users based on their preferences and behavior.

Fairness in Federated Learning: Fairness for Whom?

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May 27, 2025
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Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression

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May 26, 2025
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Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits

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May 26, 2025
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Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs

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May 26, 2025
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Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation

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May 26, 2025
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Leveraging Descriptions of Emotional Preferences in Recommender Systems

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May 26, 2025
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MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support

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May 26, 2025
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Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model

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May 26, 2025
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Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach

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May 26, 2025
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Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models

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May 26, 2025
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