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Huifeng Guo

  1. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
    2017/03/13 by Huifeng Guo, Guo, Huifeng, Ruiming Tang +7 · 116 citations
    Computer Science · #Recommender Systems and Techniques #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques
  2. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2023/06/09 by Jianghao Lin, Lin, Jianghao, Xinyi Dai +22 · 28 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Advanced Graph Neural Networks
  3. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2024/07/13 by Jianghao Lin, Xinyi Dai, Yunjia Xi +11 · 19 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
  4. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    2024/06/18 by Jingtong Gao, Gao, Jingtong, Bo Chen +15 · 17 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Text and Document Classification Technologies #Topic Modeling
  5. Diffusion Augmentation for Sequential Recommendation
    2023/09/22 by Qidong Liu, Fan Yan, Liu, Qidong +11 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  6. Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
    2018/07/01 by Yanru Qu, Bohui Fang, Qu, Yanru +13 · 6 citations
    Computer Science · #Recommender Systems and Techniques #Machine Learning and ELM #Advanced Graph Neural Networks
  7. From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
    2025/04/22 by Yaxiong Wu, Sheng Liang, Wu, Yaxiong +13 · 21 citations
    Computer Science · #Reinforcement Learning in Robotics
  8. A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
    2023/12/17 by Zichuan Fu, Fu, Zichuan, Xiang‐Yang Li +15 · 7 citations
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Expert finding and Q&A systems
  9. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    2025/05/20 by Wenlin Zhang, Zhang, Wenlin, Xiangyang Li +21 · 16 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Multimodal Machine Learning Applications #Topic Modeling
  10. Multi-Task Deep Recommender Systems: A Survey
    2023/02/07 by Yuhao Wang, Wang, Yuhao, Ha Tsz Lam +15 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
  11. SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
    2024/12/23 by Xiaopeng Li, Xiangyang Li, Li, Xiaopeng +15 · 7 citations
    Computer Science · #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Information Retrieval (cs.IR)
  12. Multi-Graph Convolution Collaborative Filtering
    2020/01/01 by Jianing Sun, Sun, Jianing, Yingxue Zhang +11 · 2 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Caching and Content Delivery
  13. ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
    2021/04/17 by Huifeng Guo, Guo, Huifeng, Wei Guo +9 · 2 citations
    Computer Science · Social Sciences · #Advanced Computing and Algorithms #Artificial Intelligence (cs.AI) #Caching and Content Delivery #Distributed #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Parallel #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
  14. MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
    2021/11/30 by Wei Guo, Guo, Wei, Can Zhang +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  15. Deep Research: A Survey of Autonomous Research Agents
    2025/08/18 by Wenlin Zhang, Xiaopeng Li, Zhang, Wenlin +13 · 10 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning and Data Classification #Scientific Computing and Data Management
  16. A Survey of Personalization: From RAG to Agent
    2025/04/14 by Xiaopeng Li, Li, Xiaopeng, Pengyue Jia +26 · 7 citations
    Computer Science · #Distributed and Parallel Computing Systems
  17. MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition
    2024/03/01 by Rui Zhang, Huifeng Guo, Zongxin Xu +3 · 2 citations
  18. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    2024/12/11 by Pengyue Jia, Derong Xu, Jia, Pengyue +19 · 3 citations
    Computer Science · #Speech and dialogue systems #Machine Learning and Algorithms #AI-based Problem Solving and Planning
  19. Prompt Tuning as User Inherent Profile Inference Machine
    2024/08/13 by Yusheng Lu, Lu, Yusheng, Zhaocheng Du +19 · 2 citations
    Computer Science · #Advanced Database Systems and Queries #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Time Series Analysis and Forecasting
  20. Dual Graph enhanced Embedding Neural Network for CTR Prediction
    2021/06/01 by Wei Guo, Guo, Wei, Rong Su +13 · 1 citation
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Caching and Content Delivery
  21. A Comprehensive Survey on Automated Machine Learning for Recommendations
    2022/04/04 by Bo Chen, Chen, Bo, Xiangyu Zhao +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies
  22. Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy
    2024/11/30 by Tingjia Shen, Shen, Tingjia, Hao Wang +16 · 4 citations
    Computer Science · Decision Sciences · #68P20 #Artificial Intelligence (cs.AI) #Data Management and Algorithms #Data Mining Algorithms and Applications #Data Quality and Management #FOS: Computer and information sciences #H.3.4 #I.2.6 #Information Retrieval (cs.IR)
  23. Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
    2022/06/05 by Yankai Chen, Chen, Yankai, Huifeng Guo +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  24. From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
    2025/05/26 by Derong Xu, Xu, Derong, Yi Wen +17 · 5 citations
    Computer Science · #Topic Modeling #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
  25. Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
    2025/02/19 by Hao Wang, Wei Guo, Wang, Hao +17 · 4 citations
    Computer Science · Medicine · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Radiomics and Machine Learning in Medical Imaging #Recommender Systems and Techniques #Topic Modeling
  26. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    2024/03/19 by Pengyue Jia, Yejing Wang, Jia, Pengyue +15 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  27. All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
    2024/07/14 by Bo Chen, Chen, Bo, Xinyi Dai +20 · 1 citation
    Computer Science · Social Sciences · #Natural Language Processing Techniques #Topic Modeling #Artificial Intelligence in Law
  28. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
    2025/10/10 by Yingyi Zhang, Zhang, Yingyi, Pengyue Jia +20 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Persona Design and Applications #Recommender Systems and Techniques
  29. FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism
    2025/12/14 by Dezhi Yi, Yi, Dezhi, Guo, Wei +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques
  30. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    2024/12/11 by Pengyue Jia, Zhaocheng Du, Jia, Pengyue +15 · 1 citation
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies
  31. Chemical reactivity-based assembly strategy for molecular imaging enhancement
    2026/07/25 by Fantian Zeng, Huifeng Guo, Guoao Dong +6
    Chemistry · Engineering · #Click Chemistry and Applications #Nanoplatforms for cancer theranostics #Innovative Microfluidic and Catalytic Techniques Innovation
  32. From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale
    2026/07/10 by Changhong Jin, Shiqiu Yang, Roger Zhe Li +8
    #cs.IR