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Eternal Rest
🏛️ 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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RecPS: Privacy Risk Scoring for Recommender Systems
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From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction
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The Cartographer
A Survey on Generative Recommendation: Data, Model, and Tasks
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Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts
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SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model
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InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
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The Cartographer
A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
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RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
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Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
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Bootstrapping Conditional Retrieval for User-to-Item Recommendations
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PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
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HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
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Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
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CTR-Driven Ad Text Generation via Online Feedback Preference Optimization
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Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
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SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
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Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
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Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
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Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
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FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
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Calibrated Recommendations: Survey and Future Directions
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Literature-Grounded Novelty Assessment of Scientific Ideas
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