Recommendation


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

No Thoughts Just AI: Biased LLM Recommendations Limit Human Agency in Resume Screening

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Sep 04, 2025
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Temporal Interest-Driven Multimodal Personalized Content Generation

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Sep 04, 2025
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Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models

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Sep 04, 2025
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KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis

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Sep 04, 2025
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LLMs for estimating positional bias in logged interaction data

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Sep 03, 2025
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Efficient Item ID Generation for Large-Scale LLM-based Recommendation

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Sep 03, 2025
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ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems

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Sep 03, 2025
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Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight

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Aug 29, 2025
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DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors

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Aug 29, 2025
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I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks

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Aug 29, 2025
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