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🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11622
Total Papers
9061
No Code
371
Twilight
2190
Has Code
18.8%
Survival Rate
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ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
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Breaking the Likelihood Trap: Consistent Generative Recommendation with Graph-structured Model
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CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms
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PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
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MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest
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Doc2Query++: Topic-Coverage based Document Expansion and its Application to Dense Retrieval via Dual-Index Fusion
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Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
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ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
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Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
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Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short
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SHERLOCK:Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
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Mobile Gamer Lifetime Value Prediction via Objective Decomposition and Reconstruction
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TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
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Generation and annotation of item usage scenarios in e-commerce using large language models
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Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior
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Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation
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ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
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Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
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Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs
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Ethical AI prompt recommendations in large language models using collaborative filtering
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Crossing Domains without Labels: Distant Supervision for Term Extraction
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Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
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