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🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11526
Total Papers
9061
No Code
371
Twilight
2094
Has Code
18.2%
Survival Rate
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An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond
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Are Big Recommendation Models Fair to Cold Users?
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GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
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Graph Spring Network and Informative Anchor Selection for Session-based Recommendation
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Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data
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Reproducing Personalised Session Search over the AOL Query Log
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Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
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Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
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The Cartographer
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
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FinSage: A Multi-aspect RAG System for Financial Filings Question Answering
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Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
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External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
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Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
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360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
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A systematic data characteristic understanding framework towards physical-sensor big data challenges
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Ontology Matching with Large Language Models and Prioritized Depth-First Search
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SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
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RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
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KuaiFormer: Transformer-Based Retrieval at Kuaishou
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Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
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Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
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Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
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