🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11581
Total Papers
9061
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371
Twilight
2149
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18.6%
Survival Rate
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Recall: Empowering Multimodal Embedding for Edge Devices
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GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
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An Enhanced Batch Query Architecture in Real-time Recommendation
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Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
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Fair Augmentation for Graph Collaborative Filtering
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A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
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Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
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Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems
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GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
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Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
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Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending
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AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
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SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis
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CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
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Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
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Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
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Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
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SumRecom: A Personalized Summarization Approach by Learning from Users' Feedback
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FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
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Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
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Denoising Long- and Short-term Interests for Sequential Recommendation
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Knowledge Distillation Approaches for Accurate and Efficient Recommender System
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