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FedFlex: Federated Learning for Diverse Netflix Recommendations
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Proposing a Semantic Movie Recommendation System Enhanced by ChatGPT's NLP Results
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Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
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Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
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Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
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PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
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Boost cold-start recommendations with vLLM on AWS Trainium
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VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings
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You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
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Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs
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GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
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推荐也讲Scaling Law?召回、排序、端到端全覆盖:一文读懂生成式推荐系统架构进化
PaperWeekly 2025-07-21T17:37:49.000000Z
DUALRec: A Hybrid Sequential and Language Model Framework for Context-Aware Movie Recommendation
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Generative Multi-Target Cross-Domain Recommendation
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LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
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前沿论文分享 | 京东零售技术团队5篇论文入选SIGIR 2025
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Looking for Fairness in Recommender Systems
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Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems
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