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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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A Multimodal Ecological Civilization Pattern Recommendation Method Based on Large Language Models and Knowledge Graph
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Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation
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Towards dialogue based, computer aided software requirements elicitation
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Retrieve-Cluster-Summarize: An Alternative to End-to-End Training for Query-specific Article Generation
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MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendation
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Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs
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Augmented Embeddings for Custom Retrievals
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Searching COVID-19 Clinical Research Using Graph Queries: Algorithm Development and Validation
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Living Lab Evaluation for Life and Social Sciences Search Platforms -- LiLAS at CLEF 2021
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Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results
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Diversify and Conquer: Bandits and Diversity for an Enhanced E-commerce Homepage Experience
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Related Rhythms: Recommendation System To Discover Music You May Like
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Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations
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Popularity Degradation Bias in Local Music Recommendation
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A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents
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Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education
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Behind Recommender Systems: the Geography of the ACM RecSys Community
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Tidying Up the Conversational Recommender Systems' Biases
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Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
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Hessian-aware Quantized Node Embeddings for Recommendation
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Privacy Preserving Machine Learning for Behavioral Authentication Systems
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Denoising Attention for Query-aware User Modeling in Personalized Search
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