🏛️ 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%
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Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
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A Metric for MLLM Alignment in Large-scale Recommendation
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Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking
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Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering
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A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
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Algorithm Selection for Recommender Systems via Meta-Learning on Algorithm Characteristics
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Discrete-event Tensor Factorization: Learning a Smooth Embedding for Continuous Domains
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SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval
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LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models
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Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
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Measuring the stability and plasticity of recommender systems
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Personalized Recommendation of Dish and Restaurant Collections on iFood
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Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms
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Parameter-Efficient Single Collaborative Branch for Recommendation
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Reliable Evaluation Protocol for Low-Precision Retrieval
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Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems
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Dual-disentangle Framework for Diversified Sequential Recommendation
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ADSeeker: A Knowledge-Infused Framework for Anomaly Detection and Reasoning
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Decomposed Reasoning with Reinforcement Learning for Relevance Assessment in UGC Platforms
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Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation
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Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions
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Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
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