Shin, Kyuyong

1. Scaling Law for Recommendation Models: Towards General-purpose User Representations
   2021/11/15 by Kyuyong Shin, Shin, Kyuyong, Kwak, Hanock +8 · 8 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
2. One4all User Representation for Recommender Systems in E-commerce
   2021/05/24 by Shin, Kyuyong, Kwak, Hanock, Kim, Kyung-Min +4 · 2 citations
   #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
3. HyperCLOVA X Technical Report
   2024/04/02 by Kang Min Yoo, Jaegeun Han, Yoo, Kang Min +480 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
4. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments
   2020/06/26 by Young‐Jin Park, Kyuyong Shin, Park, Young-Jin +3 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Caching and Content Delivery #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
5. Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning
   2022/12/07 by Shin, Kyuyong, Kwak, Hanock, Kim, Wonjae +5 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)