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Lichan Hong

  1. Wide & Deep Learning for Recommender Systems
    2016/06/24 by Heng-Tze Cheng, Cheng, Heng-Tze, Levent Koç +29 · 178 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques
  2. Recommender Systems with Generative Retrieval
    2023/05/08 by Shashank Rajput, Nikhil Mehta, Rajput, Shashank +25 · 1 voice · 87 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling #cs.IR #cs.LG
  3. Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
    2023/05/10 by Wang-Cheng Kang, Jianmo Ni, Kang, Wang-Cheng +12 · 1 voice · 21 citations
    Computer Science · #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling #cs.IR #cs.LG
  4. Leveraging LLM Reasoning Enhances Personalized Recommender Systems
    2024/07/22 by Alicia Y. Tsai, Tsai, Alicia Y., Adam Kraft +18 · 1 voice · 19 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.IR #cs.LG
  5. Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
    2023/06/13 by Anima Singh, Singh, Anima, Trung Nghia Vu +24 · 1 voice · 28 citations
    Computer Science · #Recommender Systems and Techniques #Text and Document Classification Technologies #Topic Modeling
  6. How to Train Data-Efficient LLMs
    2024/02/15 by Noveen Sachdeva, Benjamin Coleman, Sachdeva, Noveen +16 · 2 voices · 27 citations
    Computer Science · #cs.LG #cs.AI #cs.CL
  7. DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
    2021/06/07 by Hussein Hazimeh, Zhe Zhao, Hazimeh, Hussein +13 · 11 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Recommender Systems and Techniques #Multimodal Machine Learning Applications
  8. Aligning Large Language Models with Recommendation Knowledge
    2024/03/30 by Yuwei Cao, Cao, Yuwei, Nikhil Mehta +15 · 1 voice · 7 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.IR
  9. A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
    2020/10/29 by Yin Zhang⋆, Zhang, Yin, Derek Zhiyuan Cheng +9 · 9 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
  10. Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
    2020/02/20 by Wang-Cheng Kang, Kang, Wang-Cheng, Derek Zhiyuan Cheng +11 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  11. Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
    2023/11/10 by Huan Gui, Ruoxi Wang, Gui, Huan +13 · 10 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Advanced Graph Neural Networks
  12. Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
    2022/10/25 by Yin Zhang⋆, Zhang, Yin, Ruoxi Wang +13 · 5 citations
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Machine Learning and ELM
  13. Online Matching: A Real-time Bandit System for Large-scale Recommendations
    2023/07/29 by Xinyang Yi, Shao-Chuan Wang, Yi, Xinyang +15 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
  14. Who is Authoritative? Understanding Reputation Mechanisms in Quora
    2012/04/17 by Sharoda A. Paul, Paul, Sharoda A., Lichan Hong +4 · 1 citation
    Computer Science · Social Sciences · #Expert finding and Q&A systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Knowledge Management and Sharing #Mobile Crowdsensing and Crowdsourcing #Social and Information Networks (cs.SI) #cs.HC #cs.SI
  15. HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
    2023/05/27 by Kaize Ding, Ding, Kaize, Albert Jiongqian Liang +15 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Text and Document Classification Technologies #Topic Modeling
  16. Efficient Training on Very Large Corpora via Gramian Estimation
    2018/07/18 by Walid Krichene, Krichene, Walid, Nicolas Mayoraz +13 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  17. STAR: A Simple Training-free Approach for Recommendations using Large Language Models
    2024/10/21 by Dong‐Ho Lee, Lee, Dong-Ho, Kraft, Adam +12 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  18. LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
    2024/02/07 by Yuji Roh, Roh, Yuji, Qingyun Liu +19 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)
  19. Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
    2026/02/26 by Zhengyang Su, Isay Katsman, Yueqi Wang +10 · 2 citations
    Computer Science · #cs.IR #cs.CL #cs.LG
  20. Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems
    2026/07/26 by Baolei Li, Yiping Yuan, Yilin Zheng +6
    Computer Science · #cs.IR #cs.AI #cs.LG