The Recall Ceiling of LLM Recommendation Reranking

arXiv:2609.27953 · cs.IR, cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/GeoffreyWang1117/recallceiling-cikm2026

Terminology

• Alignment — 5× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Prompt Engineering — 3× in this paper · explained in 4 episodes
• AUC — 2× in this paper · explained in 2 episodes
• Recall-Aware Evaluation Protocol — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
• GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
• Passage Re-ranking with BERT
• Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

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