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🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11581
Total Papers
9061
No Code
371
Twilight
2149
Has Code
18.6%
Survival Rate
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From Prompting to Alignment: A Generative Framework for Query Recommendation
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Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
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On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures
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Constrained Auto-Regressive Decoding Constrains Generative Retrieval
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StePO-Rec: Towards Personalized Outfit Styling Assistant via Knowledge-Guided Multi-Step Reasoning
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HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations
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Coming Soon™
Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
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Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
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Large Language Models Enhanced Hyperbolic Space Recommender Systems
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xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
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Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy
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Pre-training Generative Recommender with Multi-Identifier Item Tokenization
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Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent
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How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs
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Automating Personalization: Prompt Optimization for Recommendation Reranking
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A Proposed Hybrid Recommender System for Tourism Industry in Iraq Using Evolutionary Apriori and K-means Algorithms
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Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
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Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items
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Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities
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Learning Cascade Ranking as One Network
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Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
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Uncovering Cross-Domain Recommendation Ability of Large Language Models
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